AI Accountability
Being responsible or answerable for a system, its behavior and its potential impacts.
AI Ethics
Moral principles that guide responsible use of AI.
AI Fairness and Bias
Exhibiting fair and neutral outcomes without system-generated bias, and protecting individuals and groups from discrimination or mistreatment in AI-decision making.
AI Privacy and Governance
Techniques and policies to protect users’ privacy in the age of AI, as well as frameworks and models for governing development and use of AI in society.
AI and Social Consciousness
Focusing on the legal, economic, social, environmental and ethical implications of artificial intelligence, and achieving socially conscious AI.
AI for Social Good
Using AI to approach important social, environmental, and public health issues, and achieve positive societal impacts.
AI and Social Justice
Leveraging the power of AI to promote social justice.
AI Transparency
Informing users about how and why AI systems use their information, how they operate and how they arrive at decisions.
Human-Centered AI
Putting the human users at the center of AI design thinking, emphasizing user experience design and focusing on AI’s impact on humans.
CSRAI Research Publications
Works from Penn State CSRAI researchers.