Fairness and Accountability in Machine Learning (FAccT)

Fairness and Accountability in Machine Learning (FAccT) focus on ensuring that AI systems make decisions that are just, transparent, and responsible. Fairness aims to prevent biases that could unfairly disadvantage certain groups, promoting equitable treatment. Accountability involves making AI operations understandable and subject to oversight, so developers and users can address errors or biases. Together, FAccT seeks to build AI that respects ethical standards, reduces harm, and fosters trust by being fair and answerable for its decisions.