AI Safety & Alignment
Jun 4, 2026

The Gist
OpenAI called for global cooperation to protect young people from AI risks, proposing an international institute for safety standards. A study of 25,500 AI resume screenings found widespread hiring bias, with AI systems giving different scores to identical resumes based on demographic details. Experts warn that even AI safety specialists struggle to know which actions actually reduce AI risks versus making them worse.
Today's Stories
- 1
OpenAI proposes international institute to protect youth from AI dangers
OpenAI announced plans for global cooperation on youth AI safety, calling for an international institute to establish safeguards and standards. The ChatGPT maker published its policy positions on AI regulation and political advocacy on June 1-2, emphasizing the need for thoughtful oversight.
Parents and educators may soon have clearer guidelines and protections when children use AI tools like ChatGPT in schools or at home.
- 2
Study reveals widespread bias in AI hiring tools affecting 25,500 job applications
Researchers found that AI resume screening systems showed bias in 45% of cases when evaluating identical work histories with only minor demographic changes. The study tested 10 different AI models and found that some penalized candidates for attending prestigious universities or having certain backgrounds, inventing professional-sounding excuses to justify lower scores.
Job seekers using AI-powered application systems may face unfair treatment based on their background rather than qualifications, potentially affecting hiring decisions at many companies.
- 3
AI safety experts admit uncertainty about which actions reduce AI risks
Holden Karnofsky, a veteran AI safety researcher, believes there's a 49% chance his work is making AI dangers worse rather than better. Jesse Clifton stepped down as executive director of the Center on Long-Term Risk in 2025 for similar reasons, highlighting how even experts struggle to know which safety measures are effective.
The uncertainty among top AI safety researchers suggests that current efforts to make AI systems safer may not be as reliable as the public assumes.
- 4
RSM consulting firm earns top Microsoft AI partnership recognition
RSM US LLP received Microsoft's Frontier Partner badge on June 3, placing it among elite firms helping businesses implement AI at scale. The recognition highlights RSM's alignment with Microsoft's AI strategy and its 'AI-first, human-led' approach to consulting services.
Medium-sized businesses working with RSM may get access to more advanced AI implementation services and Microsoft AI tools.
- 5
Chinese AI model Minimax M3 found to lack typical political censorship
Researchers testing AI bias found that Minimax's M3 model appears to have no political censorship, unlike other Chinese AI systems that typically restrict discussions about sensitive topics. This discovery came during development of a benchmark to measure Chinese AI political bias.
Users of Chinese AI models may have different experiences with political discussions depending on which specific AI system they use.
What to Watch
OpenAI's proposed international youth safety institute could lead to new regulations for AI companies and schools using AI tools. The hiring bias study may prompt companies to audit their AI recruiting systems and could influence upcoming AI regulation discussions.
Sources
- RSM Earns Microsoft Frontier Partner Badge, Reinforcing Its AI-First Leadership
- 5 Best Audio to Video AI Generators for Modern Content Workflows
- Why Even Experts Don’t Know What to Do About AI Risk
- Written by an AI. Edited by a human. It had to be that way. You'll understand why
- Minimax M3 appears to have no political censorship
- Advancing youth safety and opportunity through global leadership
- Latest News In Cloud AI - Bridging The Adoption Gap With Hands-On Experiences
- Our views on AI policy and political advocacy
- I analyzed 25,500 LLM resume screenings to measure hiring bias. The results are a wake-up call
- Made a free tool to help stop overthinking decisions - testing if it's useful
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