The emergence of generative AI raises concerns about fair, equitable, and safe development practices. Developing responsible is crucial for the technology’s positive impact.
Tech giants like Google and Microsoft are investing billions in developing AI systems that are equitable, reliable, and uphold user trust.
Generative AI models, especially Stable Diffusion, have highlighted the urgent need to address racial and gender biases. Ensuring fairness and representation in AI is crucial for a just and equitable future.
Stanford Medicine and the Stanford Institute for Human-Centered Artificial Intelligence have launched the RAISE-Health initiative to address ethical and safety issues in AI innovation in healthcare. Learn how this initiative aims to define ethical standards, accelerate research, and build public trust in AI systems for improved clinical care outcomes.
OpenAI CEO’s warning highlights the pressing need for regulating artificial intelligence (AI) due to risks like voter manipulation and disinformation. Discover the call for a licensing regime and government intervention, echoing a historical “printing press moment.” Explore the urgency of establishing safeguards to mitigate AI-related risks.
The European Union is advancing towards implementing the AI Act, one of the first major global laws controlling AI use. The law aims to restrict potentially dangerous applications, like facial recognition software, and mandates increased transparency from AI manufacturers.
