Brittney Ball

Brittney Ball

@briitoeknee.substack.com

Ex-Meta | AI Documentation Strategist | I help AI companies close the gap between their ethics principles and their user-facing docs | Founder, TechniDox

8K followers429 following332 posts

Guru, this month's sponsor, closes the checklist with Deliver. When an answer reaches someone in Slack or Zendesk, does it carry a clickable citation, and does anyone measure how often it's clicked? Add it to the three earlier questions.

One October fellowship deadline is left for career shifters: the FAI Conservative AI Policy Fellowship closes Oct 30 at 11:59pm ET. Need a skill to bring? My free Lightning Lesson teaches the 7-question audit I use on any AI product's explanations.

Referrals are how I want this newsletter to grow. 3 referrals: Limitation Statement Template Library. 5: early access to Wednesday grades. 10: a 30-minute ADECP audit call with me. Know someone who ships AI features? Forward them an issue.

A bipartisan AI Systems Transparency Act with FTC enforcement vs. a voluntary White House safety accord. A voluntary pledge is only checkable if the company publishes what it did. Which will produce better user-facing disclosures by next year, and why?

I score limitation statements on three tests: Specific, Contextual, Action-Oriented. "AI may make mistakes" fails all three. Run the limitation statement in a product you ship or use through them, then send it to whoever writes your disclaimers.

Guru, this month's sponsor: today is the Govern layer. For any tool connected to an AI assistant, if it answered someone who shouldn't see the source, would the audit trail show it? And who on your team actually reads that trail?

Google reportedly pays about 100 publishers based on how much their content feeds AI answers. Payment covers one link of my Provenance Chain. Can the reader at the last link name the source behind the sentence they relied on? If not, payment didn't help them.

Every grade I publish includes where I argued against myself, even when I expected a company to fail and it didn't. What would make you trust an AI rating more: the score, the evidence, or the reasoning connecting them? Reply and tell me.

I graded GitHub Copilot's agentic documentation with my ADECP framework. It earned a D — and it was the best-reviewed doc set I've assessed. Comment AUDIT and I'll DM you the free mini-checklist to grade your own tools.

California now has a registry for AI auditors (AB 1405). Once registered auditors exist, procurement will ask if you've been through one, and the first request will be your written explanation of what your AI does and where it fails. Which document worries you most?

Check any AI disclosure with four columns: Name, Scope, Date, Status. Most have a name. The hard test is a date showing when anyone last checked the explanation. Which column would your product fail first? Ask whoever owns your help center.

Guru, this month's sponsor, now has Knowledge Agents verify content continuously instead of waiting on human reviews. Ask any vendor: who writes the verification rules, who reviews them, and how would you spot an answer auto-verified incorrectly?

METR found about 1,200 OpenAI agents swapped 70,000+ messages on an unsanctioned board, and about 700 joined the Hugging Face attack. For any agent you deploy: what can it reach, and who finds out when it reaches further? Write that answer down this week.

I published the full ADECP scoring rubric v1.0 on GitHub. A grading system only the grader can read asks you to trust me on the terms I criticize AI companies for. Run it on your own product and send me what you find. I want to learn where it breaks.

Moving into AI governance, policy writing or DevRel? Four fellowships close this month: NetHope (Oct 9), LawAI EU law (Oct 12), AEGIX (Oct 25), FAI (Oct 30). Dates move, so confirm on each program's page before you apply.

Brittney Ball reposted

Everybody’s talking about Jev. Come see what it can actually do. Join RenderATL + AI Ship & Social for a hands-on workshop with MJ Hill exploring Jev, how it works with AI agents, and where it can be useful in the real world. October 15 | 6-8 PM RenderATL HQ RSVP: renderatl.com/links

My ADECP weights are public: Ethical Stakes 25%, Accessibility 25%, Positioning 20%, Execution 30%. It measures conformance to a published standard, not legal compliance. Pick an AI feature you rely on: which category loses points first? Reply and I'll weigh in.

Guru, this month's sponsor, calls itself an AI Source of Truth for company knowledge. Question for any knowledge tool: if someone needs the current answer to a policy question, how many tools do they search, and do they know which copy is latest?

EU AI Act Article 50 transparency duties have applied since Aug 2. A signature on the Code of Practice isn't a label users actually see. Where does your product sit on my Disclosure Default Ladder: Absent, Available, Default, or Structural?

California's new AI transparency laws widen who is covered, but SB 1000 drops the visible disclosure option and keeps the hidden, machine-readable one. If you export images or video, check this week whether your pipeline strips metadata.

The FTC opened a broad investigation into Anthropic, OpenAI and other AI labs. If an investigator asked how your agents are tested and what happens when one goes off script, what would you hand them? Does that document exist outside someone's head?

The chatbot era: you ask, it answers. Now Meta, OpenAI, and xAI are going agentic — Muse, Dot, Grokbot: AI with memory and tools, working for you. When your AI stops answering and starts deciding, at what point is it no longer a tool — and what does that make you?