AI Ethics Research

Defining ethical frameworks for accountable, transparent, and socially beneficial artificial intelligence.

Central Ethical Challenges

Addressing bias, accountability, and societal impact in the development of artificial intelligence systems.

Mitigating harmful biases in algorithmic decision-making systems through inclusive design principles.

Creating auditable AI systems with clear attribution of decisions to human stakeholders.

Building trust through transparency and public engagement with AI decision-making systems.

Implementing ethical frameworks across healthcare, finance, and autonomous systems.

Developing transparent diagnostic and treatment recommendation systems with ethical oversight.

Ensuring responsible deployment of AI algorithms in algorithmic trading and credit scoring.

Participate in shaping responsible AI through research, policy, and collaborative innovation.