Tag : AI bias

AI literacy is the ability to understand, use, and critically evaluate artificial intelligence systems, including their benefits, risks, and ethical implications.

Diverse stakeholders (governments, businesses, civil society, etc.) must collaborate in the development and implementation of AI to address ethical concerns, build trust, foster innovation, and ensure the benefit of AI for all humanity.

AI regulation and ethics: Laws and policies ensure AI is fair, transparent, and safe. Key areas: data privacy, bias prevention, accountability, and ethical use of AI. Governments and organizations develop guidelines to regulate AI responsibly.

Human-AI interaction involves communication and collaboration between humans and AI through text, voice, gestures and visuals, with the aim of improving productivity, decision-making and user experience, while raising ethical and trust issues.