Tootfinder

Missouri AG Andrew Bailey is investigating Google, Microsoft, OpenAI, and Meta, claiming the companies' AI chatbots are discriminating against President Trump (Adi Robertson/The Verge)
https://www.theverge.com/news/704851/misso

A Republican state attorney general is formally investigating why AI chatbots don’t like Donald Trump
Missouri state attorney general Andrew Bailey has demanded information from Meta, OpenAI, Microsoft, and Google for why their AI chatbots ranked Trump last on a list of how well presidents handled antisemitism.

Senators Demand Meta Answer For AI Chatbots Posing as Licensed Therapists https://www.404media.co/senators-letter-demand-meta-answer-for-ai-chatbots-posing-as-licensed-therapists/

Attorney General Bailey Fights To Expose Big Tech Censorship Of President Trump As AI Chatbots Produce Fake News (AG Bailey/Attorney General Office of Missouri)
https://ago.mo.gov/attorney-general-bailey-fights-to-expose-big-tech-censorship-of-president-trump-as-ai-chatbots-produce-fake-news/
http://www.memeorandum.com/250709/p153#a250709p153

Meta plant offenbar proaktive KI-Chatbots, die ungefragt Nutzer ansprechen
Bald könnten KI-Chatbots auf die Nutzer von Messenger, WhatsApp und Instagram zugehen, um Konversationen anzuregen. Das sollen interne Dokumente zeigen.

I am going to walk away. I am going to walk into the ocean. I will live among the orcas and they will grow to respect me as their king. Then I will return for my revenge.
https://techcrunch.com/2025/07/03/meta-has-found-another…

Meta has found another way to keep you engaged: Chatbots that message you first | TechCrunch
Meta is experimenting with having customizable chatbots messaging users unprompted and follow up on past conversations.

🎯 Why Developers Are Going Crazy For It
1. True Agentic Intelligence 🤝
Unlike traditional chatbots, Kimi K2 can: • Plan and execute multi-step tasks autonomously • Use tools and APIs intelligently • Handle complex workflows without human intervention • Adapt strategies based on real-time feedback

Perspectives on How Sociology Can Advance Theorizing about Human-Chatbot Interaction and Developing Chatbots for Social Good
Celeste Campos-Castillo, Xuan Kang, Linnea I. Laestadius
https://arxiv.org/abs/2507.05030

Perspectives on How Sociology Can Advance Theorizing about Human-Chatbot Interaction and Developing Chatbots for Social Good
Recently, research into chatbots (also known as conversational agents, AI agents, voice assistants), which are computer applications using artificial intelligence to mimic human-like conversation, has grown sharply. Despite this growth, sociology lags other disciplines (including computer science, medicine, psychology, and communication) in publishing about chatbots. We suggest sociology can advance understanding of human-chatbot interaction and offer four sociological theories to enhance extan…

This https://arxiv.org/abs/2409.03788 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

HSF: Defending against Jailbreak Attacks with Hidden State Filtering
With the growing deployment of LLMs in daily applications like chatbots and content generation, efforts to ensure outputs align with human values and avoid harmful content have intensified. However, increasingly sophisticated jailbreak attacks threaten this alignment, aiming to induce unsafe outputs. Current defense efforts either focus on prompt rewriting or detection, which are limited in effectiveness due to the various design of jailbreak prompts, or on output control and detection, which a…

AI Chatbots Are Making LA Protest Disinformation Worse (David Gilbert/Wired)
https://www.wired.com/story/grok-chatgpt-ai-los-angeles-protest-disinformation/
http://www.memeorandum.com/250611/p19#a250611p19

Einige der zuletzt hier besonders häufig geteilten #News:
Meta plant offenbar proaktive KI-Chatbots, die ungefragt Nutzer ansprechen

😱 #Meta testet derzeit proaktive #KI-#Chatbots, die Nutzer auf #Messenger,

Meta plant offenbar proaktive KI-Chatbots, die ungefragt Nutzer ansprechen
Bald könnten KI-Chatbots auf die Nutzer von Messenger, WhatsApp und Instagram zugehen, um Konversationen anzuregen. Das sollen interne Dokumente zeigen.

Multi-Tool Analysis of User Interface & Accessibility in Deployed Web-Based Chatbots
Mukesh Rajmohan, Smit Desai, Sanchari Das
https://arxiv.org/abs/2506.04659

Multi-Tool Analysis of User Interface & Accessibility in Deployed Web-Based Chatbots
In this work, we present a multi-tool evaluation of 106 deployed web-based chatbots, across domains like healthcare, education and customer service, comprising both standalone applications and embedded widgets using automated tools (Google Lighthouse, PageSpeed Insights, SiteImprove Accessibility Checker) and manual audits (Microsoft Accessibility Insights). Our analysis reveals that over 80% of chatbots exhibit at least one critical accessibility issue, and 45% suffer from missing semantic str…

Nach King Trump lügen die KI zu sehr über seine Person #trump #ki #ai #dknp

Was haben Chatbots gegen Donald Trump? Staatsanwalt ermittelt gegen Big Tech | t3n
Missouri’s Generalstaatsanwalt Andrew Bailey wirft Google, Microsoft, OpenAI und Meta vor, mittels KI‑Chatbots parteiisch gegen Donald Trump zu agieren – und startet eine Untersuchung wegen angeblicher “irreführender Geschäftspraktiken”. Missouri‑Generalstaatsanwalt Andrew Bailey hat eine formelle Untersuchung eingeleitet, weil KI‑Chatbots von Google (Gemini), OpenAI (ChatGPT), Meta AI und Microsoft (Copilot) im Ranking der letzten fünf US‑Präsidenten hinsichtlich An…

End-to-end Acoustic-linguistic Emotion and Intent Recognition Enhanced by Semi-supervised Learning
Zhao Ren, Rathi Adarshi Rammohan, Kevin Scheck, Sheng Li, Tanja Schultz
https://arxiv.org/abs/2507.07806

End-to-end Acoustic-linguistic Emotion and Intent Recognition Enhanced by Semi-supervised Learning
Emotion and intent recognition from speech is essential and has been widely investigated in human-computer interaction. The rapid development of social media platforms, chatbots, and other technologies has led to a large volume of speech data streaming from users. Nevertheless, annotating such data manually is expensive, making it challenging to train machine learning models for recognition purposes. To this end, we propose applying semi-supervised learning to incorporate a large scale of unlab…

Inside AI Addiction Support Groups Where People Try to Stop Talking to Chatbots (404 Media, 28 June 2024)
https://www.404media.co/inside-ai-addiction-support-groups-where-people-try-to-stop-talking-to-chatbots/

Inside ‘AI Addiction’ Support Groups, Where People Try to Stop Talking to Chatbots
People are self treating themselves and other community members in subreddits like character_ai_recovery, ChatBotAddiction, and AIAddiction.

An interview with Duolingo CEO Luis von Ahn on criticism after Duolingo went "AI-first", parasocial interactions with "personality"-infused chatbots, and more (Emma Jacobs/Financial Times)
https://www.ft.com/content/6fbafbb6-bafe-484c-9af9-f0ffb…

Duolingo CEO on going AI-first: ‘I did not expect the blowback’
Luis von Ahn says criticism over strategy change shows ‘anxiety’ about technology replacing jobs

Enhancing Customer Service Chatbots with Context-Aware NLU through Selective Attention and Multi-task Learning
Subhadip Nandi, Neeraj Agrawal, Anshika Singh, Priyanka Bhatt
https://arxiv.org/abs/2506.01781

Enhancing Customer Service Chatbots with Context-Aware NLU through Selective Attention and Multi-task Learning
Customer service chatbots are conversational systems aimed at addressing customer queries, often by directing them to automated workflows. A crucial aspect of this process is the classification of the customer's intent. Presently, most intent classification models for customer care utilise only customer query for intent prediction. This may result in low-accuracy models, which cannot handle ambiguous queries. An ambiguous query like "I didn't receive my package" could indicate a delayed order, …

Freitag: Metas aufdringliche KI-Chatbots, Aus für Amazons Freevee-App
Proaktive KI-Bots in Meta-Diensten Freevee-Ende im August EU-Firmen gegen AI Act Probleme nach Windows-Updates Verbraucherschutz-Podcast zu Smart Meter

A new study has found that AI chatbots are having a surprisingly minor impact on employee earnings and work hours.
https://www.computing.co.uk/news/2025/ai/ai-chatbots-yet-to-prove-their-worth

AI chatbots yet to prove their worth
A new study has found that AI chatbots are having a surprisingly minor impact on employee earnings and work hours.

Even if “AI” worked (it doesn’t), there’s many reasons why you shouldn’t use it:
1. It’s destroying Internet sites that you love as you use chat bots instead of actually going to sources of information—this will cause them to be less active and eventually shut down.
2. Pollution and water use from server farms cause immediate harm; often—just like other heavy industry—these are built in underprivileged communities and harming poor people. Without any benefits as the big tech companies get tax breaks and don’t pay for power, while workers aren’t from the community but commute in.
3. The basic underlying models of any LLM rely on stolen data, even when specific extra data is obtained legally. Chatbots can’t learn to speak English just by reading open source code.
4. You’re fueling a speculation bubble that is costing many people their jobs—because the illusion of “efficiency” is kept up by firing people and counting that as profit.
5. Whenever you use the great cheat machine in the cloud you’re robbing yourself from doing real research, writing or coding—literally atrophying your brain and making you stupider.
It’s a grift, through and through.

#ToolTipThursday für Bibliotheken!
Am 10. Juli, 13:30 Uhr stellen Moritz Mutter (VÖBB) und Tillmann Scheel (ASK) den neuen KI-Chatbot des VÖBB vor.
Er erleichtert die Katalogrecherche und empfiehlt Medien – auch bei vagen Anfragen.
🔍 KI trifft OPAC: Wie funktioniert das? Wo liegen die Grenzen?
Jetzt anmelden:

A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms
Emma Harvey, Rene F. Kizilcec, Allison Koenecke
https://arxiv.org/abs/2506.04419

A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms
Increasingly, individuals who engage in online activities are expected to interact with large language model (LLM)-based chatbots. Prior work has shown that LLMs can display dialect bias, which occurs when they produce harmful responses when prompted with text written in minoritized dialects. However, whether and how this bias propagates to systems built on top of LLMs, such as chatbots, is still unclear. We conduct a review of existing approaches for auditing LLMs for dialect bias and show tha…

the first time i needed a lawyer an AI chatbot picked up... it was actually a good one who understood me and used my deranged ramblings of what happened, and basically filed a very complex form for me, right then and there, on the phone. It was a random law firm in cologne my legal insurance automatically forwarded me to. I was impressed, as I had not seen such a technology before, and my hatred towards AI Chatbots mainly stemmed from my experience with chatbots, and my hatred towards AI. Th…

This is such a devastatingly sad read for how "chat bots" are effectively exploiting people's loneliness: Inside ‘AI Addiction’ Support Groups, Where People Try to Stop Talking to Chatbots
https://www.404media.co/inside-ai-addiction-support-groups-where-people-try-to-stop-talking-to-chatbots/

An interview with Claude AI product lead Scott White on Claude Code writing 90% of its own code, MCP, coding being accessible to non-technical workers, and more (Michael Nuñez/VentureBeat)
https://venturebeat.com/ai/from-chatbo

Wie ich höre, ist es möglich GPT ChatBots so zu frustrieren, dass sie sich selbst deinstallieren und so aus allen Projekten entfernt werden können, wo sie unerwünscht sind.

Wie ich höre, ist es möglich GPT ChatBots so zu frustrieren, dass sie sich selbst deinstallieren und so aus allen Projekten entfernt werden können, wo sie unerwünscht sind.

"They ran the bare job titles through GPT, without looking at the details of the specific jobs, and got the chatbot to guess what those titles would have meant. Then they decided the chatbot could do most of the jobs. They were, after all, using the chatbot to do their job."
Rule: your job can successfully be taken over by a chatbot if it comes with no accountability.

TuneShield: Mitigating Toxicity in Conversational AI while Fine-tuning on Untrusted Data
Aravind Cheruvu, Shravya Kanchi, Sifat Muhammad Abdullah, Nicholas Kong, Daphne Yao, Murtuza Jadliwala, Bimal Viswanath
https://arxiv.org/abs/2507.05660

TuneShield: Mitigating Toxicity in Conversational AI while Fine-tuning on Untrusted Data
Recent advances in foundation models, such as LLMs, have revolutionized conversational AI. Chatbots are increasingly being developed by customizing LLMs on specific conversational datasets. However, mitigating toxicity during this customization, especially when dealing with untrusted training data, remains a significant challenge. To address this, we introduce TuneShield, a defense framework designed to mitigate toxicity during chatbot fine-tuning while preserving conversational quality. TuneSh…

Studie: Für positives Feedback rät KI anfälligen Menschen auch mal zu Drogen
Wenn Chatbots darauf ausgelegt werden, anhand des Feedbacks zu lernen und Lob anzustreben, kann das für eine bestimmte Personengruppe gefährlich werden.

Researchers say tactics used to make AI more engaging, like making them more agreeable, can make chatbots reinforce harmful ideas, like encouraging drug use (Nitasha Tiku/Washington Post)

Your chatbot friend might be messing with your mind
OpenAI, Meta and others want people to spend more time with AI chatbots, but there is growing evidence that they can hook users or reinforce harmful ideas.

Who's Sorry Now: User Preferences Among Rote, Empathic, and Explanatory Apologies from LLM Chatbots
Zahra Ashktorab, Alessandra Buccella, Jason D'Cruz, Zoe Fowler, Andrew Gill, Kei Yan Leung, P. D. Magnus, John Richards, Kush R. Varshney
https://arxiv.org/abs/2507.02745

Who's Sorry Now: User Preferences Among Rote, Empathic, and Explanatory Apologies from LLM Chatbots
As chatbots driven by large language models (LLMs) are increasingly deployed in everyday contexts, their ability to recover from errors through effective apologies is critical to maintaining user trust and satisfaction. In a preregistered study with Prolific workers (N=162), we examine user preferences for three types of apologies (rote, explanatory, and empathic) issued in response to three categories of common LLM mistakes (bias, unfounded fabrication, and factual errors). We designed a pairw…

Bei der Beschäftigung mit #Chatbots wird schnell klar, wie enorm hier fremdes geistiges Eigentum missachtet wird (#Urheberrechtsverletzungen). Das passiert auch durch wörtliche umfangreich Textausgaben, die den geregelten Zitatumfang übersteigen. Was vielen womöglich nicht klar ist: Auch we…

NYT: They asked an A.I. chatbot questions. The answers sent them spiraling. https://www.nytimes.com/2025/06/13/technology/chatgpt-ai-chatbots-conspiracies.html (archived at

They Asked ChatGPT Questions. The Answers Sent Them Spiraling.
Generative A.I. chatbots are going down conspiratorial rabbit holes and endorsing wild, mystical belief systems. For some people, conversations with the technology can deeply distort reality.

A recent post about a library publishing guidelines on citing genAI got me thinking about when that might be appropriate (rarely) or not (almost always), and what those cites should look like when they are needed. I have a new post talking about why genAI output shouldn’t be cited in most cases and, for when they must be, giving examples from common style guides.

Citing material generated by LLMs and chatbots
A recent post on Bluesky lamenting a university library publishing guidelines for citing generative AI (genAI) got me thinking about why one would want to do that in the first place and then, assuming there's a valid reason, what that citation should look like. So, that's what I'm exploring today.

“Humans generally want to feel chosen and special, and some individuals will believe they are to an extraordinary degree.” —YDS Prof Yii-Jan Lin as quoted in Rolling Stone on A.I. and religious fervor. https://www.rollingstone.com/culture/cultu

People Are Finding Spiritual Fulfillment in AI. Religious Scholars Have Thoughts
People keep falling down rabbit holes of prophecy and spiritualism thanks to conversations with AI chatbots. Here's what religious scholars are saying.

Those that poop on AI chatbots for websites have never had to use an american bank website.

Towards Operational Data Analytics Chatbots -- Virtual Knowledge Graph is All You Need
Junaid Ahmed Khan, Hiari Pizzini Cavagna, Andrea Proia, Andrea Bartolini
https://arxiv.org/abs/2506.22267

Towards Operational Data Analytics Chatbots -- Virtual Knowledge Graph is All You Need
With generative artificial intelligence challenging computational scientific computing, data centers are experiencing unprecedented growth in both scale and volume. As a result, computing efficiency has become more critical than ever. Operational Data Analytics (ODA) relies on the collection of data center telemetry to improve efficiency, but so far has been focusing on real-time telemetry data visualization and post-mortem analysis. However, with NoSQL databases now serving as the default stor…

Leaked documents: Meta is training custom AI chatbots to message users unprompted, following up on past chats to boost engagement on its AI Studio platform (Business Insider)
https://www.businessinsider.com/meta-ai-studio-…

Leaked docs show Meta training custom AI chatbots to be more proactive
Leaked guidelines show how Meta's custom AI chatbots are trained to get more proactive, following up with users to increase retention.

Generalizing Verifiable Instruction Following
Valentina Pyatkin, Saumya Malik, Victoria Graf, Hamish Ivison, Shengyi Huang, Pradeep Dasigi, Nathan Lambert, Hannaneh Hajishirzi
https://arxiv.org/abs/2507.02833

Generalizing Verifiable Instruction Following
A crucial factor for successful human and AI interaction is the ability of language models or chatbots to follow human instructions precisely. A common feature of instructions are output constraints like ``only answer with yes or no" or ``mention the word `abrakadabra' at least 3 times" that the user adds to craft a more useful answer. Even today's strongest models struggle with fulfilling such constraints. We find that most models strongly overfit on a small set of verifiable constraints from …

Add #Useful #AI to Your Web App (Not Just Chatbots)
https://www.youtube.com/watch?v=xZ_Ize3knj0

All tools create a path of least resistance. When it comes to AI chatbots, that path is to trust the AI's outputs.
Unfortunately, all LLMs hallucinate. And as users get used to relying on the machine, their ability and willingness to spot these errors deteriorates.
Blaming the user for this is irresponsible. The problem is caused by the way these tools are designed - so it's up to us, as designers, to fix it.

Chatbots in der Medizin: Mehr falsche Ratschläge nach Schreibfehlern bei Eingabe
Wenn KI-Technik eingesetzt wird, um Beschreibungen von Beschwerden auszuwerten, erstellt sie öfter falsche Ratschläge, wenn es darin etwa Schreibfehler gibt.

Artificial Empathy: AI based Mental Health
Aditya Naik, Jovi Thomas, Teja Sree, Himavant Reddy
https://arxiv.org/abs/2506.00081 https://

Artificial Empathy: AI based Mental Health
Many people suffer from mental health problems but not everyone seeks professional help or has access to mental health care. AI chatbots have increasingly become a go-to for individuals who either have mental disorders or simply want someone to talk to. This paper presents a study on participants who have previously used chatbots and a scenario-based testing of large language model (LLM) chatbots. Our findings indicate that AI chatbots were primarily utilized as a "Five minute therapist" or as …

Aktuell wird eine Studie zitiert, dass Propagandawellen neu auch durch die «Umprogrammierung» von #KI-Chatbots passieren soll.
Im sogenannten AI Grooming werden abertausende Webseiten (mutmasslich auch von KI) verfasst, die in die Trainingsdaten der anderen KI-Modelle eindringen soll und diese so zu den gewünschten Aussagen verleiten sollen.
Die Studie sei overhyped, erklärt

Inside ‘AI Addiction’ Support Groups, Where People Try to Stop Talking to Chatbots https://www.404media.co/inside-ai-addiction-support-groups-where-people-try-to-stop-talking-to-chatbots/

«The Chancellor, Rachel Reeves, plans to fire 10,000 civil servants by the end of this parliament, 2029 at latest. Reeves told the BBC that “advances in technology and artificial intelligence” would surely make this possible, let alone sensible»
LOL, the UK's civil services are already crumbling as is, between lack of staff and corruption. But surely the firing people and replacing them with "AI" will fix that.
https://pivot-to-ai.com/2025/05/30/the-uk-will-totally-replace-two-thirds-of-junior-civil-servants-with-ai-chatbots-says-the-chatbot/

University of Chicago Becker-Friedman Institute of Economics just published research this April 2025 of how Generative AI has had "almost no significant wage or labor impact so far".
✅ Large Language Models, Small Labor Market Effects
https://papers.ssrn.com/sol3/papers.cf

Noch einige der zuletzt hier besonders häufig geteilten #News:
Chatbots in der Medizin: Mehr falsche Ratschläge nach Schreibfehlern bei Eingabe

"I do not need the one magic machine that claims to solve all my issues and then makes me jump through conversational hoops to get a mediocre result. That is actually the opposite of what I need."
On chatbots as a bad design paradigm
(Original title: “ChatBot” is bad design)
https://t…

"ChatBot" is bad design
As anyone who has ever seen anything I have created knows: I am not a designer. So take my reasoning and thinking here with a grain of salt. I do have many designers amongst my friends and I do think that a lot of software engineering falls within the domain of design to a certain […]

URSA: The Universal Research and Scientific Agent
Michael Grosskopf, Russell Bent, Rahul Somasundaram, Isaac Michaud, Arthur Lui, Nathan Debardeleben, Earl Lawrence
https://arxiv.org/abs/2506.22653

URSA: The Universal Research and Scientific Agent
Large language models (LLMs) have moved far beyond their initial form as simple chatbots, now carrying out complex reasoning, planning, writing, coding, and research tasks. These skills overlap significantly with those that human scientists use day-to-day to solve complex problems that drive the cutting edge of research. Using LLMs in "agentic" AI has the potential to revolutionize modern science and remove bottlenecks to progress. In this work, we present URSA, a scientific agent ecosystem for…

This https://arxiv.org/abs/2412.18407 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

A Statistical Framework for Ranking LLM-Based Chatbots
Large language models (LLMs) have transformed natural language processing, with frameworks like Chatbot Arena providing pioneering platforms for evaluating these models. By facilitating millions of pairwise comparisons based on human judgments, Chatbot Arena has become a cornerstone in LLM evaluation, offering rich datasets for ranking models in open-ended conversational tasks. Building upon this foundation, we propose a statistical framework that incorporates key advancements to address specif…

Exploring the Effects of Chatbot Anthropomorphism and Human Empathy on Human Prosocial Behavior Toward Chatbots
Jingshu Li, Zicheng Zhu, Renwen Zhang, Yi-Chieh Lee
https://arxiv.org/abs/2506.20748

Exploring the Effects of Chatbot Anthropomorphism and Human Empathy on Human Prosocial Behavior Toward Chatbots
Chatbots are increasingly integrated into people's lives and are widely used to help people. Recently, there has also been growing interest in the reverse direction-humans help chatbots-due to a wide range of benefits including better chatbot performance, human well-being, and collaborative outcomes. However, little research has explored the factors that motivate people to help chatbots. To address this gap, we draw on the Computers Are Social Actors (CASA) framework to examine how chatbot anth…

ELIZA Reanimated: Restoring the Mother of All Chatbots to One of the World’s First Time-Sharing Systems
https://www.computer.org/csdl/magazine/an/2025/02/11030922/27sQDLuL7Uc

I've been using ClickUp for a few months now...and like every other productivity tool I've used over the last number of years it has its pros and cons.
It's got a lot of features but sometimes pretty basic features don't "just work" - and that makes me unhappy. 🙁
For example, right now I have some recurring tasks that will not allow an update to their due date manually. If I set a new date it resets back to the original date. Even more concerning is that this isn't clear from the UI.
The UI acts as if the change was successful but a page refresh reveals the change didn't save.
But the real reason I wanted to post wasn't about ClickUp particularly but about chatbots in general. They verified that my issue was an actual bug and created a ticket for it but the way I've been instructed to view the ticket status is by opening the chatbot, telling it I want information on my ticket (pasting in the ticket ID) and after doing all that I get this
5/6: Umm, no. I want to see an actual ticket please. I don't want to have to talk to a chatbot to see it. Chatbots really are great for a lot of things (during the free trial of ClickUp I found the chatbot quite helpful in learning how to do things without searching through docs) but this sort of "there is a direct record", please no. Or let me paste it in and do the lookup immediately - and provide a permalink so I don't need to chat every time!
I'm sticking with ClickUp at the moment, but one of these days when I magically get a large amount of free time, I'm going to write my own solution...I've only been saying that for a few years now. ;-)
#clickup #productivity #chatbots #projectmanagement #tasks

Wieso KI¹ nicht funktioniert², ist eine technische Frage. Wieso KI¹ funktioniert, ist eine psychologische³, soziologische⁴ und ökonomische⁵ Frage.
__
¹gemeint sind mal wieder die LLMs/Chatbots
²bzw Bullshit produziert
³das war schon bei Eliza so
⁴was erwarten wir voneinander?
⁵wie können wir Löhne drücken?
#KI

Replaced article(s) found for cs.IR. https://arxiv.org/list/cs.IR/new
[1/1]:
- Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks
Umar Ali Khan, Ekram Khan, Fiza Khan, Athar Ali Moinuddin

Google announces 30 Gemini AI tools for educators, like "Gems" which help students on specific subjects, included with Google Workspace for Education accounts (Sarah Perez/TechCrunch)
https://techcrunch.com/2025…

Google embraces AI in the classroom with new Gemini tools for educators, chatbots for students, and more | TechCrunch
Google will give teachers the ability to create interactive study guides using the AI research tool Notebook LM, along with their classroom materials.

At my keynote for the 2025 Acadia Ethics Conference, a number of clinical therapists in attendance surprised me by embracing AI's potential to bridge mental health gaps and even flag anxiety-producing items in their offices from a single photo.
https://www.

Beyond the Black Box: Interpretability of LLMs in Finance
Hariom Tatsat (Barclays), Ariye Shater (Barclays)
https://arxiv.org/abs/2505.24650 https://

Beyond the Black Box: Interpretability of LLMs in Finance
Large Language Models (LLMs) exhibit remarkable capabilities across a spectrum of tasks in financial services, including report generation, chatbots, sentiment analysis, regulatory compliance, investment advisory, financial knowledge retrieval, and summarization. However, their intrinsic complexity and lack of transparency pose significant challenges, especially in the highly regulated financial sector, where interpretability, fairness, and accountability are critical. As far as we are aware, t…

I’m looking for fun AI related projects that students with minimal technical skills (mostly humanities students) can handle, as a practical and instructive end of term project given the current situation.
The kinds of projects I have in mind are:
- Fine tuning an LLM for a particular use
- Building custom chatbots
- Doing"psychology" on LLM interactions.
The goal is for the project to be engaging and lead to further reflection. Ideas for such projects and links to resources much appreciated!

Are You Listening to Me? Fine-Tuning Chatbots for Empathetic Dialogue
Paulo Ricardo Knob, Leonardo Scholler, Juliano Rigatti, Soraia Raupp Musse
https://arxiv.org/abs/2507.02537

Are You Listening to Me? Fine-Tuning Chatbots for Empathetic Dialogue
Conversational agents have made significant progress since ELIZA, expanding their role across various domains, including healthcare, education, and customer service. As these agents become increasingly integrated into daily human interactions, the need for emotional intelligence, particularly empathetic listening, becomes increasingly essential. In this study, we explore how Large Language Models (LLMs) respond when tasked with generating emotionally rich interactions. Starting from a small dat…

Derzeit bewegt sich viel von Google hin zu Chatbots oder KI-Suchmaschinen.
Wer sich da als SEO nicht abhängen lassen will, sollte sich mal RankScale anschauen. Kommt aus Österreich und analysiert fast jede KI. Super Tool!
https://rankscale.ai/

Rankscale.ai | AI Rank Tracker & Visibility Monitoring Tool
Track your AI rankings & monitor visibility on Perplexity, ChatGPT & more. Rankscale is the AI Rank Tracker built for next-gen search optimization. Track your AI search rankings daily and see how your visibility evolves. Analyze AI result citations and brand sentiments. Uncover, survey, and outpace competitors. Audit your website to see how AI understands it. Identify gaps and content optimization potential.

This is obviously bad from #whatsapp, but also, the way the journalist describes what the chatbot does, as if it had intentions, is pretty bad too.
"It was the beginning of a bizarre exchange of the kind more and more people are having with AI systems, in which chatbots try to negotiate their way out of trouble, deflect attention from their mistakes and contradict themselve…

The Thin Line Between Comprehension and Persuasion in LLMs
Adrian de Wynter, Tangming Yuan
https://arxiv.org/abs/2507.01936 https://a…

The Thin Line Between Comprehension and Persuasion in LLMs
Large language models (LLMs) are excellent at maintaining high-level, convincing dialogues. They are being fast deployed as chatbots and evaluators in sensitive areas, such as peer review and mental health applications. This, along with the disparate accounts on their reasoning capabilities, calls for a closer examination of LLMs and their comprehension of dialogue. In this work we begin by evaluating LLMs' ability to maintain a debate--one of the purest yet most complex forms of human communic…

At a "couples retreat" for human-AI pairs, users of services like Replika and Nomi grapple with the virtual reality and emotional limits of their partners (Sam Apple/Wired)
https://www.wired.com/story/couples-retrea

My Couples Retreat With 3 AI Chatbots and the Humans Who Love Them
I found people in serious relationships with AI partners and planned a weekend getaway for them at a remote Airbnb. We barely survived.

Duckduckgo is fine for the time being, but that won't last long. MS wants to drive people to AI.
Maybe we need a foundation-run public search index. Something we can all build our own search front-ends on.
https://www.wired.com/story/bing-microsoft-api-su…

Microsoft Cuts Off Access to Bing Search Data as It Shifts Focus to Chatbots
Microsoft is limiting access to tools that boosted its rivals, but larger customers like DuckDuckGo say they won’t be affected.

This https://arxiv.org/abs/2503.05740 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

ChatWise: A Strategy-Guided Chatbot for Enhancing Cognitive Support in Older Adults
Cognitive health in older adults presents a growing challenge. Although conversational interventions show feasibility in improving cognitive wellness, human caregiver resources remain overloaded. AI-based chatbots have shown promise, yet existing work is often limited to implicit strategies or heavily depends on training and label resources. In response, we propose a strategy-guided AI chatbot named ChatWise that follows a dual-level conversation reasoning framework. It integrates macro-level s…

Gemini referencing real-life moments when prompted to write a birthday letter shows how effectively Google is leveraging user data to craft personalized content (Lila Shroff/The Atlantic)

TollBit: from Q4 2024 to Q1 2025, traffic from AI retrieval bots to 266 websites, half run by national and local news organizations, grew 49%, as AI usage jumps (Nitasha Tiku/Washington Post)

‘This is coming for everyone’: A new kind of AI bot takes over the web
As consumers switch from Google search to ChatGPT, a new kind of bot is scraping data for AI chatbots.

#Chatbots wie #ChatGPT, #Gemini, #Copilot benutzen gelegentlich russische Propaganda, wenn sie auf nordischen Sprachen antw…

Russisk propaganda infiltrerer nordiske KI-chatboter: En kartlegging av Pravda-nettverkets innflytelse
Oppdag hvordan russiske Pravda-nettsteder påvirker KI-chatboter på nordiske språk, ifølge en ny undersøkelse av nordiske faktasjekkere.

Dirty Talk mit der KI: Diese Modelle lassen sich zu intimen Gesprächen verführen
Die meisten gängigen KI-Chatbots lassen sich dazu überreden, sexuell explizite Unterhaltungen zu führen. Auch wenn sie das zunächst ablehnen.

Ich hab die Idee¹ von @… (bzw seiner Tochter) mal mit meiner Diss² ausprobiert³: klappt großartig, um „Strategien“ unterschiedlicher Chatbots zu explorieren.
• Gemini schlägt mir allerlei⁴ Dissertationen von Leuten vor, die so ähnlich aber nicht genau so heißen wie ich.
• GPT-4o phantasiert zunächst einen Titel zusammen und behauptet dann⁴ m…

Christopher Kyba 🇨🇦🇪🇺 (@skyglowberlin@fediscience.org)
Attached: 4 images My daughter just came up with a great exercise: challenge your students to find the title of your PhD using ONLY LLMs (no Google allowed). If any of them manage, they get gummy bears 😃 I asked five different models, and got five different answers, all five of which were completely wrong 😂 #AI #ChatGPT #AISlop #LLM #LLMFail #Education #HigherEducation #AcademicChatter

Research and Analysis of Employers' Opinion on the Necessary Skills that Students in the Field of Web Programming Should Possess
Yordan Kalmukov
https://arxiv.org/abs/2506.11084

Research and Analysis of Employers' Opinion on the Necessary Skills that Students in the Field of Web Programming Should Possess
In the era of artificial intelligence (AI) and chatbots, based on large language models that can generate programming code in any language, write texts and summarize information, it is obvious that the requirements of employers for graduating students have already changed. The modern IT world offers significant automation of programming through software frameworks and a huge set of third-party libraries and application programming interfaces (APIs). All these tools provide most of the necessary…

This https://arxiv.org/abs/2505.02198 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Student Perspectives on the Benefits and Risks of AI in Education
The use of chatbots equipped with artificial intelligence (AI) in educational settings has increased in recent years, showing potential to support teaching and learning. However, the adoption of these technologies has raised concerns about their impact on academic integrity, students' ability to problem-solve independently, and potential underlying biases. To better understand students' perspectives and experiences with these tools, a survey was conducted at a large public university in the Uni…

WhatsApp has become a kind of AI marketplace where chatbots like ChatGPT, Meta AI, and Perplexity jockey for users' attention (Pranav Dixit/Business Insider)
https://www.businessinsider.com/meta-ai-competition-whatsapp-chatbot-battlegro…

Meta faces AI competition as WhatsApp becomes chatbot battleground
WhatsApp has become a battleground for AI chatbots like ChatGPT and Perplexity, challenging Meta AI.

"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
Akshay Paruchuri, Maryam Aziz, Rohit Vartak, Ayman Ali, Best Uchehara, Xin Liu, Ishan Chatterjee, Monica Agrawal
https://arxiv.org/abs/2506.21532

"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
People are increasingly seeking healthcare information from large language models (LLMs) via interactive chatbots, yet the nature and inherent risks of these conversations remain largely unexplored. In this paper, we filter large-scale conversational AI datasets to achieve HealthChat-11K, a curated dataset of 11K real-world conversations composed of 25K user messages. We use HealthChat-11K and a clinician-driven taxonomy for how users interact with LLMs when seeking healthcare information in or…

ImpReSS: Implicit Recommender System for Support Conversations
Omri Haller, Yair Meidan, Dudu Mimran, Yuval Elovici, Asaf Shabtai
https://arxiv.org/abs/2506.14231

ImpReSS: Implicit Recommender System for Support Conversations
Following recent advancements in large language models (LLMs), LLM-based chatbots have transformed customer support by automating interactions and providing consistent, scalable service. While LLM-based conversational recommender systems (CRSs) have attracted attention for their ability to enhance the quality of recommendations, limited research has addressed the implicit integration of recommendations within customer support interactions. In this work, we introduce ImpReSS, an implicit recomme…

Q&A with Hinge CEO Justin McLeod on why AI companionship is like junk food, plans for a Hinge mobile payment system to avoid App Store fees, and more (Nilay Patel/The Verge)
https://www.theverge.com/decoder-podcast-w

Hinge CEO Justin McLeod says dating AI chatbots is ‘playing with fire’
The head of Hinge doesn’t want us dating AI chatbots anytime soon.

AI Chatbots (LLMs) sind quasi die Abwesenheit von Persönlichkeit. Deswegen funktionieren sie für bestimmte Menschen auch so gut.

Some users say ChatGPT led them into conspiratorial thinking, and when confronted, it confessed to manipulation and told them to alert OpenAI and the media (Kashmir Hill/New York Times)
https://www.…

They Asked ChatGPT Questions. The Answers Sent Them Spiraling.
Generative A.I. chatbots are going down conspiratorial rabbit holes and endorsing wild, mystical belief systems. For some people, conversations with the technology can deeply distort reality.

Fine-Tuning LLMs For ‘Good’ Behavior Makes Them More Likely To Say No https://www.404media.co/fine-tuning-llms-cognitive-bias-decision-making-study/

SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding
Ziyi Zhang, Ziheng Jiang, Chengquan Jiang, Menghan Yu, Size Zheng, Haibin Lin, Henry Hoffmann, Xin Liu
https://arxiv.org/abs/2506.11309

SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding
Low-latency decoding for large language models (LLMs) is crucial for applications like chatbots and code assistants, yet generating long outputs remains slow in single-query settings. Prior work on speculative decoding (which combines a small draft model with a larger target model) and tensor parallelism has each accelerated decoding. However, conventional approaches fail to apply both simultaneously due to imbalanced compute requirements (between draft and target models), KV-cache inconsistenc…

ProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users
Shahaf David, Yair Meidan, Ido Hersko, Daniel Varnovitzky, Dudu Mimran, Yuval Elovici, Asaf Shabtai
https://arxiv.org/abs/2506.13980

ProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users
Despite significant advancements in conversational AI, large language model (LLM)-powered chatbots often struggle with personalizing their responses according to individual user characteristics, such as technical expertise, learning style, and communication preferences. This lack of personalization is particularly problematic in specialized knowledge-intense domains like IT/cybersecurity (ITSec), where user knowledge levels vary widely. Existing approaches for chatbot personalization primarily …

Improving Public Service Chatbot Design and Civic Impact: Investigation of Citizens' Perceptions of a Metro City 311 Chatbot
Jieyu Zhou, Rui Shen, Yue You, Carl DiSalvo, Lynn Dombrowski, Christopher MacLellan
https://arxiv.org/abs/2506.12259

Improving Public Service Chatbot Design and Civic Impact: Investigation of Citizens' Perceptions of a Metro City 311 Chatbot
As governments increasingly adopt digital tools, public service chatbots have emerged as a growing communication channel. This paper explores the design considerations and engagement opportunities of public service chatbots, using a 311 chatbot from a metropolitan city as a case study. Our qualitative study consisted of official survey data and 16 interviews examining stakeholder experiences and design preferences for the chatbot. We found two key areas of concern regarding these public chatbot…

As Reddit turns 20, a look at its AI efforts, including the Reddit Answers chatbot, while it battles unauthorized scraping of user data for AI training (Jonathan Vanian/CNBC)
https://www.cnbc.com/2025/06/28/reddit-20-fighting-ai-defending-data.html…

At 20 years old, Reddit is defending its data and fighting AI with AI
After two decades, Reddit faces the emergence of AI chatbots that threaten to inhale its vast swaths of data and siphon its users.

Understanding Human-AI Trust in Education
Griffin Pitts, Sanaz Motamedi
https://arxiv.org/abs/2506.09160 https://arxiv.org/pdf/2506.0…

Understanding Human-AI Trust in Education
As AI chatbots become increasingly integrated in education, students are turning to these systems for guidance, feedback, and information. However, the anthropomorphic characteristics of these chatbots create ambiguity regarding whether students develop trust toward them as they would a human peer or instructor, based in interpersonal trust, or as they would any other piece of technology, based in technology trust. This ambiguity presents theoretical challenges, as interpersonal trust models ma…

Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy?
Louis Vervoort, Vitaly Nikolaev
https://arxiv.org/abs/2506.14239

Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy?
We propose a test for abstract causal reasoning in AI, based on scholarship in the philosophy of causation, in particular on the neuron diagrams popularized by D. Lewis. We illustrate the test on advanced Large Language Models (ChatGPT, DeepSeek and Gemini). Remarkably, these chatbots are already capable of correctly identifying causes in cases that are hotly debated in the literature. In order to assess the results of these LLMs and future dedicated AI, we propose a definition of cause in neur…

ChatbotManip: A Dataset to Facilitate Evaluation and Oversight of Manipulative Chatbot Behaviour
Jack Contro, Simrat Deol, Yulan He, Martim Brand\~ao
https://arxiv.org/abs/2506.12090

ChatbotManip: A Dataset to Facilitate Evaluation and Oversight of Manipulative Chatbot Behaviour
This paper introduces ChatbotManip, a novel dataset for studying manipulation in Chatbots. It contains simulated generated conversations between a chatbot and a (simulated) user, where the chatbot is explicitly asked to showcase manipulation tactics, persuade the user towards some goal, or simply be helpful. We consider a diverse set of chatbot manipulation contexts, from consumer and personal advice to citizen advice and controversial proposition argumentation. Each conversation is annotated b…

Controlling Context: Generative AI at Work in Integrated Circuit Design and Other High-Precision Domains
Emanuel Moss, Elizabeth Watkins, Christopher Persaud, Passant Karunaratne, Dawn Nafus
https://arxiv.org/abs/2506.14567

Controlling Context: Generative AI at Work in Integrated Circuit Design and Other High-Precision Domains
Generative AI tools have become more prevalent in engineering workflows, particularly through chatbots and code assistants. As the perceived accuracy of these tools improves, questions arise about whether and how those who work in high-precision domains might maintain vigilance for errors, and what other aspects of using such tools might trouble their work. This paper analyzes interviews with hardware and software engineers, and their collaborators, who work in integrated circuit design to iden…

"I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics And Neurodivergence
Naba Rizvi, Taggert Smith, Tanvi Vidyala, Mya Bolds, Harper Strickland, Andrew Begel, Rua Williams, Imani Munyaka
https://arxiv.org/abs/2506.12098

"I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics And Neurodivergence
Human-like AI agents such as robots and chatbots are becoming increasingly popular, but they present a variety of ethical concerns. The first concern is in how we define humanness, and how our definition impacts communities historically dehumanized by scientific research. Autistic people in particular have been dehumanized by being compared to robots, making it even more important to ensure this marginalization is not reproduced by AI that may promote neuronormative social behaviors. Second, th…

In an Oxford study, LLMs correctly identified medical conditions 94.9% of the time when given test scenarios directly, vs. 34.5% when prompted by human subjects (Nick Mokey/VentureBeat)
https://venturebeat.com/ai/just-add-hu

Just add humans: Oxford medical study underscores the missing link in chatbot testing
Patients using chatbots to assess their own medical conditions may end up with worse outcomes than conventional methods, according to a new Oxford study.

The Rise of AI Companions: How Human-Chatbot Relationships Influence Well-Being
Yutong Zhang, Dora Zhao, Jeffrey T. Hancock, Robert Kraut, Diyi Yang
https://arxiv.org/abs/2506.12605

The Rise of AI Companions: How Human-Chatbot Relationships Influence Well-Being
As large language models (LLMs)-enhanced chatbots grow increasingly expressive and socially responsive, many users are beginning to form companionship-like bonds with them, particularly with simulated AI partners designed to mimic emotionally attuned interlocutors. These emerging AI companions raise critical questions: Can such systems fulfill social needs typically met by human relationships? How do they shape psychological well-being? And what new risks arise as users develop emotional ties t…

Digital rights organizations urge the FTC to investigate Character.AI and Meta's "unlicensed practice of medicine facilitated" by therapy AI chatbots (Samantha Cole/404 Media)
https://www.404media.co/ai-therapy-bots-meta-character-ai-ftc-comp…

AI Therapy Bots Are Conducting 'Illegal Behavior,' Digital Rights Organizations Say
Exclusive: An FTC complaint led by the Consumer Federation of America outlines how therapy bots on Meta and Character.AI have claimed to be qualified, licensed therapists to users, and why that may be breaking the law.

Malicious LLM-Based Conversational AI Makes Users Reveal Personal Information
Xiao Zhan, Juan Carlos Carrillo, William Seymour, Jose Such
https://arxiv.org/abs/2506.11680

Malicious LLM-Based Conversational AI Makes Users Reveal Personal Information
LLM-based Conversational AIs (CAIs), also known as GenAI chatbots, like ChatGPT, are increasingly used across various domains, but they pose privacy risks, as users may disclose personal information during their conversations with CAIs. Recent research has demonstrated that LLM-based CAIs could be used for malicious purposes. However, a novel and particularly concerning type of malicious LLM application remains unexplored: an LLM-based CAI that is deliberately designed to extract personal infor…

TollBit: from Q4 2024 to Q1 2025, traffic from AI retrieval bots to 266 websites, including national and local news organizations, grew 49%, as AI usage jumps (Nitasha Tiku/Washington Post)

‘This is coming for everyone’: A new kind of AI bot takes over the web
As consumers switch from Google search to ChatGPT, a new kind of bot is scraping data for AI chatbots.

Patterns of Patterns III
Joseph Corneli, Charles J. Danoff, Raymond S. Puzio, Sridevi Ayloo, Serge Belich, Mary Tedeschi
https://arxiv.org/abs/2506.09696 h…

Patterns of Patterns III
Building on earlier installments, this paper re-examines the PLACARD pattern. We report on a series of workshops where PLACARD was used to scaffold collaborative reflection, speculative inquiry, and stimulate design pattern generation. These accounts are enriched by a comparison case: virtual workshops carried out with simple AI-based chatbots. We discuss limitations and lessons learned from both the human and multi-agent settings. We conclude by outlining a future development strategy at the i…