Shareholders Push to Tie Meta Executive Pay to Child Safety
Meta shareholders are set to vote on May 27 on a resolution that would require the board to assess linking senior executive compensation to improvements in child safety, announced in a press release. The measure comes shortly after two court rulings found the company liable in cases involving harm to minors on its platforms.
The proposal was filed by Proxy Impact on behalf of Dr. Lisette Cooper and co-filed by 13 institutional investors representing about 800 million dollars in Meta stock. Former Meta executive and child safety advocate Kelly Stonelake will present the resolution at the annual meeting. Supporters argue that linking pay to safety performance could help align leadership incentives with mitigating legal and regulatory risks.
In March, a New Mexico court ordered Meta Platforms, Inc. to pay 375 million dollars for violating consumer protection laws, citing misleading statements on platform safety and failure to protect minors. The next day, a California court found both Meta and Google liable for designing addictive platforms that harm young users' mental health. Meta faces more than 2,400 additional lawsuits and a preliminary finding under the European Union's Digital Services Act that could result in fines up to 6 percent of global revenue.
The resolution also notes that Meta’s current executive bonus plan rewards market capitalization growth targets that critics say may conflict with safety objectives. Proxy Impact CEO Michael Passoff said the financial case for linking compensation to child safety metrics is strong, given the scale of ongoing litigation and the availability of internal data to measure safety outcomes.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 16 HKMA Introduces ART Framework for AI Use in Banking Oct 15 UK Medicines Regulator Plans AI Safety Tools by 2030 Oct 15 OpenAI Agrees Not to Use Apple Trade Secrets During Lawsuit Oct 15 Financial Stability Board Publishes 12 AI Practices for Financial Firms Oct 15 Singapore Launches Three AI Safety InitiativesAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Senators Question Meta Tax Credits for AI Data Centers
MetaOptics Establishes US ADR Program on OTCQX
Insurify blocks Meta's Muse from insurance marketplace
Anthropic and OpenAI leave AI evaluator access details open
Former AI Workers Warn New York City Council About Safety Risks
Daily AI Brief: the AI news that matters, in your inbox.