Tootfinder

Harness, which uses AI to automate code testing, verification, security, and governance, raised a $240M Series E led by Goldman Sachs at a $5.5B valuation (Jagmeet Singh/TechCrunch)
https://techcrunch.com/2025/12/11/harness-hits-5-5b-va…

Harness hits $5.5B valuation with $240M raise to automate AI's 'after-code' gap | TechCrunch
Goldman Sachs has led Harness's Series E round, with participation from IVP, Menlo Ventures, and Unusual Ventures.

Future of Privacy Forum Appoints Matthew Reisman as Vice President of U.S. Policy
https://fpf.org/press-releases/future-of-privacy-forum-appoints-matthew-reisman-as-vice-president-of-u-s-policy/

TikTok Shop says fraudulent sellers are using AI to create fake brands and nonexistent products; TikTok rejected 70M products and banned 700K sellers in H1 2025 (Dan Whateley/Business Insider)
https://www.businessinsider.com/tiktok-shop-exec-a…

'It's organized crime': TikTok Shop says it's fighting a new wave of AI scammers
Generative AI is a powerful new tool for fraudsters trying to sell fake products, TikTok Shop's governance leader Nicolas Waldmann said.

Credo just dropped its 2025 ESG report, and it's all about making AI infrastructure greener.
The connectivity tech company is tackling one of AI's biggest challenges: massive energy consumption in data centers. Their solution? High-speed connectivity hardware designed for lower power use and reduced waste.
Beyond products, they're investing in education, health, and local communities.

Credo Releases 2025 Environmental, Social, and Governance (ESG) Report - CleanTechnica
Support CleanTechnica's work through a Substack subscription or on Stripe. San Jose, California — Credo Technology Group Holding Ltd (Credo) (NASDAQ: CRDO), an innovator in providing secure, high-speed connectivity solutions that deliver improved reliability and energy efficiency, has released its 2025 Environmental, Social, and Governance (ESG) Report. The report outlines ... [continued]

Reproducibility: The New Frontier in AI Governance
Israel Mason-Williams, Gabryel Mason-Williams
https://arxiv.org/abs/2510.11595 https://arxiv.org/pdf/251…

Reproducibility: The New Frontier in AI Governance
AI policymakers are responsible for delivering effective governance mechanisms that can provide safe, aligned and trustworthy AI development. However, the information environment offered to policymakers is characterised by an unnecessarily low Signal-To-Noise Ratio, favouring regulatory capture and creating deep uncertainty and divides on which risks should be prioritised from a governance perspective. We posit that the current publication speeds in AI combined with the lack of strong scientifi…

Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Anastasija Nikiforova, Martin Lnenicka, Ulf Melin, David Valle-Cruz, Asif Gill, Cesar Casiano Flores, Emyana Sirait, Mariusz Luterek, Richard Michael Dreyling, Barbora Tesarova
https://arxiv.org/abs/2510.09634

Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Despite Artificial Intelligence (AI) transformative potential for public sector services, decision-making, and administrative efficiency, adoption remains uneven due to complex technical, organizational, and institutional challenges. Responsible AI frameworks emphasize fairness, accountability, and transparency, aligning with principles of trustworthy AI and fair AI, yet remain largely aspirational, overlooking technical and institutional realities, especially foundational data and governance. …

Designers are always inventing new titles. Web designer, UI designer, UX designer, UX/UI designer, Product designer, UX/AI designer (???)
These are all the same!
As long as your work is mediated entirely by Figma and Jira, you are just a production artist.
Fighting with PMs over who "gets" to do strategy (usually: neither of you) won't help you. Lean into the core #design

Without UX governance, your app turns to "sludge"
Break out of the feature delivery mindset and attend to the architecture and maintenance of the product.

LinkedIn notifications.
(I’d rather my air carrier not be using AI but here we are.)

Zero Data Retention in LLM-based Enterprise AI Assistants: A Comparative Study of Market Leading Agentic AI Products
Komal Gupta, Aditya Shrivastava
https://arxiv.org/abs/2510.11558

Zero Data Retention in LLM-based Enterprise AI Assistants: A Comparative Study of Market Leading Agentic AI Products
Governance of data, compliance, and business privacy matters, particularly for healthcare and finance businesses. Since the recent emergence of AI enterprise AI assistants enhancing business productivity, safeguarding private data and compliance is now a priority. With the implementation of AI assistants across the enterprise, the zero data retention can be achieved by implementing zero data retention policies by Large Language Model businesses like Open AI and Anthropic and Meta. In this work,…

“The promise of AI for engineers is getting rid of engineers.
Tools like GitHub’s Copilot write code, specs, review, and create pull requests. They create and run tests, and do so in the background while the developers engage in more productive activities, such as meetings.”
From my latest blog on @…

How To Use LLM-Powered Coding Assistants Safely: Risks & Best Practices
Learn how to gain the productivity benefits of LLM-powered coding assistants without introducing technical debt or security risks. Discover real-world pitfalls, expert insights, and governance best practices from Xebia.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/8]:
- A Human Behavioral Baseline for Collective Governance in Software Projects
Mobina Noori, Mahasweta Chakraborti, Amy X Zhang, Seth Frey

FPF Year in Review 2025
https://fpf.org/blog/fpf-year-in-review-2025/
@…
This year, FPF continued to broaden its footprint across priority areas of d…

📣📣📣 LLM-powered coding mass-produces technical debt. 📣📣📣
The expectations around them are sky-high, but many organizations are falling behind because of them. 📉
WHY IT MATTERS? CTOs lament slowdowns and production issues traced to company-wide rollouts of LLM-powered coding assistants. The AI promise clashes with the reality of technical debt and security issues. 🐛
Read more:

How To Use LLM-Powered Coding Assistants Safely: Risks & Best Practices
Learn how to gain the productivity benefits of LLM-powered coding assistants without introducing technical debt or security risks. Discover real-world pitfalls, expert insights, and governance best practices from Xebia.

Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouse
Jacopo Tagliabue, Ciro Greco
https://arxiv.org/abs/2510.09567 https://a…

Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouse
Data lakehouses run sensitive workloads, where AI-driven automation raises concerns about trust, correctness, and governance. We argue that API-first, programmable lakehouses provide the right abstractions for safe-by-design, agentic workflows. Using Bauplan as a case study, we show how data branching and declarative environments extend naturally to agents, enabling reproducibility and observability while reducing the attack surface. We present a proof-of-concept in which agents repair data pip…

Crosslisted article(s) found for cs.GL. https://arxiv.org/list/cs.GL/new
[1/1]:
- Reproducibility: The New Frontier in AI Governance
Israel Mason-Williams, Gabryel Mason-Williams