Raqda retweeted
I talk a bit about risk thresholds and why they matter, especially when we're conducting safety evals but even more so when we're setting policies.
Our Research Scholar @gathoni_ireri was recently interviewed as part of a Rest of World story on how African countries are navigating AI safety. She highlighted the importance of context-specific AI safety evaluation. Read the story and her contribution: restofworld.org/2026/african…
Raqda retweeted
Our Research Scholar @gathoni_ireri was recently interviewed as part of a Rest of World story on how African countries are navigating AI safety. She highlighted the importance of context-specific AI safety evaluation. Read the story and her contribution: restofworld.org/2026/african…
Raqda retweeted
California's TFAIA and New York's RAISE Act both include whistleblower provisions for AI workers. Which better protects the people building frontier AI?
Neither, categorically. It depends. Our new comparative guide breaks it down.
What the guide finds:
📌 New York offers broader substantive coverage: contractors and former employees are explicitly protected, and any worker can report a "substantial and specific danger to public health or safety".
📌 California offers a more worker-friendly burden of proof: a "contributing factor" test shifts the burden to the employer to prove it would have acted the same way anyway.
📌 California bars the contractual mechanisms e.g. NDAs, pre-dispute arbitration, equity-linked offboarding that have historically kept disclosures out of view. New York does not.
📌 Both states still have gaps. Neither defines clear response obligations for authorities, and neither expressly covers equity in remedies.
The guide also sets out targeted recommendations for legislators and workers in both states.
Read the full guide in the comment below ⬇️
#AIWhistleblower #AIPolicy #TFAIA #RAISEAct
Raqda retweeted
New guide for AI workers, co-authored by our former Research Scholar, Jean Jeptoo ⬇️
California's TFAIA and New York's RAISE Act both include whistleblower provisions for AI workers. Which better protects the people building frontier AI?
Neither, categorically. It depends. Our new comparative guide breaks it down.
What the guide finds:
📌 New York offers broader substantive coverage: contractors and former employees are explicitly protected, and any worker can report a "substantial and specific danger to public health or safety".
📌 California offers a more worker-friendly burden of proof: a "contributing factor" test shifts the burden to the employer to prove it would have acted the same way anyway.
📌 California bars the contractual mechanisms e.g. NDAs, pre-dispute arbitration, equity-linked offboarding that have historically kept disclosures out of view. New York does not.
📌 Both states still have gaps. Neither defines clear response obligations for authorities, and neither expressly covers equity in remedies.
The guide also sets out targeted recommendations for legislators and workers in both states.
Read the full guide in the comment below ⬇️
#AIWhistleblower #AIPolicy #TFAIA #RAISEAct
Raqda retweeted
You can now read a new piece by our Research Associate Marie Iradukunda @MarieIrad on the need for strengthening AI incident reporting in Africa, for the benefit of global AI Safety. Read, share: incidentdatabase.ai/blog/str…
Raqda retweeted
Good news for Africans keen on opportunities in the AI x risk space: We have developed a comprehensive list of opportunities and added advisories - based on implicit and explicit evidence - touching on how to know whether you're a good fit. Read and share: docs.google.com/document/d/1…
Raqda retweeted
Our Research Scholar Raqda Sayidali @Raqda4 has co-authored an Op Ed on why the U.S. Congress needs to act now on AI whistleblower law ⬇️techpolicy.press/congress-ca…
Raqda retweeted
We're pleased to announce that our Research Editor Faith Gakii @FaithGaks is joining Legal Safety Lab as a Visiting Research Fellow. She will work with the team on the potential of corporate governance as a lever for AI safety across the compute supply chain.
Raqda retweeted
I think AI safety is an increasingly urgent and important field to be working in, and I’m glad that I’ll be spending more time contributing to it this year!
We're pleased to announce that our Research Editor Faith Gakii @FaithGaks is joining Legal Safety Lab as a Visiting Research Fellow. She will work with the team on the potential of corporate governance as a lever for AI safety across the compute supply chain.
Raqda retweeted
On 2 August 2026, the EU AI Act's enforcement phase began, and with it, a legal protection gap for AI insiders closed.
Article 87 of the AI Act now applies the EU Whistleblower Directive (2019/1937) to reports of AI Act infringements (Directive (EU) 2019/1937 shall apply to the reporting of infringements of this Regulation and the protection of persons reporting such infringements), giving qualifying reporting persons legal protection against retaliation and identity safeguards. At the same time, the AI Office and national authorities entered a new phase of enforcement, with the power to investigate and sanction.
Here's what AI insiders and "reporting persons" need to know: who qualifies, what standard of proof applies, how to report, and why we strongly recommend legal counsel before you do.
AIWI can connect you with pro bono lawyers experienced in high-stakes whistleblowing cases across jurisdictions → aiwi.org/contact-hub
#AIWI #AIWhistleblower #EUAIAct #Article87 #AIGovernance #WhistleblowerProtection #AIAccountability #AIOffice #ResponsibleAI #AIPolicy #AISafety
Raqda retweeted
African states should be able to verify what imported AI-enabled weapons can do.
@kofiemeritus and I explain how procurement and regional cooperation can make supplier claims verifiable in our new policy brief, “Toward Verifiable Controls on AI-Enabled Weapons in Africa.”
Raqda retweeted
Our recent policy analysis with CARMA examines the AI Whistleblower Protection Act (AWPA), the first federal bill written squarely for people who raise concerns from inside AI companies.
It already clears the fundamentals: a reasonable-belief standard, protection for internal reporting alongside disclosures to regulators or Congress, a burden of proof matched to existing federal whistleblower law, and remedies that include reinstatement, double back pay with interest, and a block on forced arbitration.
What remains is not a matter of intent but of scope. We map five categories where the bill's current text falls short of best practice: material scope, personal scope, penalties, remedies and retaliation, and reporting channels.
Closing them is what separates a law that sounds protective from one that actually insulates the people it names.
Authored by:
- Mark Gitau, Legal Research Fellow, CARMA
- Raqda Sayidali, Research Scholar, ILINA Program & Legal Research Fellow, CARMA
- Karl Koch, Founder & MD, AIWI
- Abra Ganz, Senior Researcher, CARMA / Head of AI Policy, Pour Demain
Full analysis: aiwi.org/publication-policy-…
#AIWI #TheAIWhistleblowerInitiative #AIWhistleblower #AIPolicy #AIGovernance #AIAccountability #AIgovernance #AIsafety #AIWPA
Raqda retweeted
You can now read an analysis of the AI Whistleblower Protection Act, which our current Research Scholar Raqda Sayidali @Raqda4 and previous Research Scholar Mark Gitau @MarkLenny5 co-authored with Abra Ganz and Karl Koch ⬇️
Our recent policy analysis with CARMA examines the AI Whistleblower Protection Act (AWPA), the first federal bill written squarely for people who raise concerns from inside AI companies.
It already clears the fundamentals: a reasonable-belief standard, protection for internal reporting alongside disclosures to regulators or Congress, a burden of proof matched to existing federal whistleblower law, and remedies that include reinstatement, double back pay with interest, and a block on forced arbitration.
What remains is not a matter of intent but of scope. We map five categories where the bill's current text falls short of best practice: material scope, personal scope, penalties, remedies and retaliation, and reporting channels.
Closing them is what separates a law that sounds protective from one that actually insulates the people it names.
Authored by:
- Mark Gitau, Legal Research Fellow, CARMA
- Raqda Sayidali, Research Scholar, ILINA Program & Legal Research Fellow, CARMA
- Karl Koch, Founder & MD, AIWI
- Abra Ganz, Senior Researcher, CARMA / Head of AI Policy, Pour Demain
Full analysis: aiwi.org/publication-policy-…
#AIWI #TheAIWhistleblowerInitiative #AIWhistleblower #AIPolicy #AIGovernance #AIAccountability #AIgovernance #AIsafety #AIWPA
Raqda retweeted
We congratulate the Kenya AI Policy team on releasing the Draft National AI Policy. We are particularly pleased to see the Draft Policy take several pro-AI safety stances, including ⬇️ ict.go.ke/sites/default/file…
Raqda retweeted
Employees cannot rest silent if misaligned AI regularly breaks out of sandboxes! If your company doesn't respond seriously, you should WHISTLEBLOW! Protected in California under certain conditions, talk to AI Whistleblower Initiative aiwi.org/lasst/
Raqda retweeted
Your goat's goat
Christopher Nolan says the creatures in ‘THE ODYSSEY’ are inspired by Guillermo del Toro's work.
“What I learned from him is that a monster is not a monster. You have to approach them the way you approach any other character.”
(Source: latimes.com/entertainment-ar…)
Raqda retweeted
I am pleased to join ILINA as a Junior Research Scholar! I look forward to producing research that is impactful, relevant, and for the betterment of the world at large.
We're pleased to welcome to our team a new Junior Research Scholar, Elvis Mogesa @mogesa_elvis. Alongside his role at ILINA, Elvis will be a Visiting Research Fellow with the Legal Safety Lab, where he will work on how best to leverage EU legal frameworks to advance AI safety.
Raqda retweeted
We're pleased to welcome to our team a new Junior Research Scholar, Elvis Mogesa @mogesa_elvis. Alongside his role at ILINA, Elvis will be a Visiting Research Fellow with the Legal Safety Lab, where he will work on how best to leverage EU legal frameworks to advance AI safety.
