Equitable Framework

Equitable frameworks aim to design and implement systems, particularly in AI and related fields, that mitigate bias and promote fairness across diverse populations. Current research focuses on developing methods for identifying and addressing biases in data and algorithms, improving the explainability of AI models to enhance transparency and accountability, and designing incentive structures that encourage equitable outcomes in multi-agent systems. This work is crucial for ensuring that technological advancements benefit all members of society and avoid exacerbating existing inequalities, with applications ranging from healthcare and education to energy distribution and resource allocation.