Global AI governance initiatives are increasingly focusing on human rights and innovation, with laws and frameworks being implemented worldwide.

Major legislative efforts include the EU AI Act, Brazil AI Bill, and the U.S. Executive Order on Trustworthy AI, among others.

These regulations aim to ensure AI technologies are safe, accountable, transparent, and protect human rights.

The growing field of AI is driving individuals like Tanya Malhotra, an undergrad passionate about data science, to develop skills in AI and machine learning.

International standards and frameworks, such as the OECD AI Risk Classification Framework, Singapore AI Verify Framework, and UNESCO AI Ethics Recommendation, emphasize diversity, justice, and human rights in AI.

Key attributes outlined for AI systems are explainability, transparency, robustness, security, safety, and accountability.