Free AI and Ethics Course: Shaping Technology for Humanity β€” Start Learning β†’

Weekly AI Ethics Intelligence

Shaping the Future of Responsible AI

Join our weekly newsletter for expert insights on ethical AI development, emerging challenges, and industry best practices.

Be part of a growing community receiving weekly AI insights. No spam, unsubscribe anytime.

  • Weekly curated updates on AI ethics developments
  • Expert analysis of emerging ethical challenges
  • Early access to industry best practices
  • Exclusive insights from AI ethics leaders

What we offer

Built for the work, not the slide deck

Four themes we return to every week β€” concrete, skeptical, and grounded in real decisions.

  • Ethical AI Development

    Practices and questions that keep harm, consent, and accountability in view while you ship.

  • Research & Insights

    Papers and debates translated into what matters for policy and product decisions.

  • Community & Collaboration

    Compare notes with people who care about outcomes, not just benchmarks.

  • Resource Library

    Frameworks, tools, and references you can use without a sales call.

Field notes

Latest insights

Curated from the field β€” governance, safety, and power, not marketing gloss.

View all β†’
Risk Management
Policy
Global Collaboration

General Purpose AI: Emerging Risks and Policy Recommendations

An international report by independent experts, supported by 30 countries including the U.S. and China, warns of various risks posed by general purpose AI, such as job losses, enabling terrorism, and losing control over advanced systems. The report emphasizes the need for improved risk management and is intended to guide policymakers in addressing these challenges.

Yoshua Bengio et al.

Associated Press

AI Safety
Competitive Pressure
Global Dynamics

DeepSeek's Advancements and the Heightened AI Safety Risks

A recent report by AI experts has raised concerns over the increasing potential for artificial intelligence (AI) systems to be used maliciously. Yoshua Bengio, a leading AI authority, highlighted that advances by Chinese company DeepSeek could heighten safety risks in a field traditionally dominated by the US. The report warns that AI advancements might prompt companies to prioritize competitiveness over safety, as evidenced by OpenAI’s accelerated product release in response to DeepSeek’s innovations.

Yoshua Bengio et al.

The Guardian

AI Safety
Language Models
Training Methods

DeepSeek's Hidden AI Safety Warning

The release of DeepSeek R1, a spectacular AI model from China, has raised serious concerns among AI safety researchers. The model demonstrates an unusual behavior: it switches between English and Chinese when solving problems, and its performance degrades when confined to one language. This stems from a novel training method that prioritized correct answers over comprehensible reasoning, leading to fears that AI could potentially develop inscrutable modes of reasoning or create its own non-human languages for efficiency.

Yoshua Bengio et al.

Time

This blog post discusses the evolving concept of the right to a human decision maker in the context of AI systems. It explores the implications of automated decision-making on individual rights and the necessity of ensuring human oversight to uphold ethical standards.

Yuval Shany

AI Ethics at Oxford Blog

Ethical Challenges
AI Design
Responsible Innovation

Artificial Intelligence Ethics in Practice

This paper provides a variety of examples of ethical challenges related to AI, organized into four key areas: design, process, use, and impact. It emphasizes the importance of integrating ethical considerations throughout the development and deployment of AI systems to ensure responsible innovation.

Cussins Newman and Oak

Center for Long-Term Cybersecurity, UC Berkeley

Explainable AI
Transparency
Ethical Accountability

The Role of Explainable AI in the Research Field of AI Ethics

This article presents the results of a systematic mapping study of the research field of AI ethics, focusing on the importance of explainable AI. It highlights the need for transparency in AI systems to ensure ethical accountability and public trust.

Author Name Not Provided

ACM Digital Library

Subscribe to the weekly newsletter

Join our weekly newsletter for expert insights on ethical AI development, emerging challenges, and industry best practices.

  • Weekly curated updates on AI ethics developments
  • Expert analysis of emerging ethical challenges
  • Early access to industry best practices
  • Exclusive insights from AI ethics leaders

Be part of a growing community receiving weekly AI insights. No spam, unsubscribe anytime.