Governing AI – Global Perspectives
Compare regulatory proposals for AI across nations and examine challenges for international governance.
Democratizing AI: Prioritizing Inclusiveness for All
Democratizing AI is essential for building inclusive technology that serves all communities. Learn how prioritizing inclusiveness in AI development ensures equal opportunities for everyone.
Building Public Trust in AI Systems
As artificial intelligence (AI) becomes increasingly prevalent in our daily lives, the need to build and maintain public trust in these systems has never been more critical. For businesses using AI technologies, earning this trust is not just an ethical imperative but a key factor in long-term success and adoption. The Trust Gap Recent studies…
Who’s Responsible for Biased AI Systems?
AI systems can unintentionally perpetuate harmful biases. We discuss ethical frameworks to hold organizations accountable for unfair AI.
Unlocking the Future: 7 Strategies for Effectively Managing AI Risks
Artificial Intelligence (AI) is reshaping industries, economies, and societies at an unprecedented pace. From autonomous vehicles and healthcare diagnostics to financial algorithms and smart cities, AI is pushing the boundaries of what technology can achieve. However, as the integration of AI accelerates, so do the risks associated with its use. Misaligned algorithms, unintended biases, privacy…
Using AI to Track Environmental Damage
Satellite imagery and AI are being combined to monitor deforestation, wildlife population declines, and other environmental changes in unprecedented detail.
Towards Trustworthy AI: Prioritizing Fairness
Trust demands fairness – explore how initiatives across sectors champion AI centered on people and justice.
The Role of Law in Governing AI
As AI becomes more capable, new laws and regulations may be needed to ensure appropriate human control and oversight.
The Challenge of Interpretable AI
Can we require AI systems to explain their reasoning? We examine ideas for making complex AI models more understandable.
Teaching AI to Be Eco-Friendly
Researchers are focused on making AI systems more energy-efficient and environmentally sustainable through new architectures and methodologies.