Ethics in Artificial Intelligence: Bias, Fairness and Beyond

Discover the critical insights in "Ethics in Artificial Intelligence: Bias, Fairness and Beyond" by Animesh Mukherjee, published by Springer Verlag in 2024. This essential read spans 143 pages, delving into the operationalization of fairness within the realm of artificial intelligence. Mukherjee expertly identifies the significance of fairness in various contexts, including allocation, clustering, and time series problems. The book also explores practical applications of fairness in software testing, debugging, and multi-stakeholder platforms. As AI continues to evolve, understanding these concepts is vital for developers, researchers, and policymakers alike. Equip yourself with the knowledge to navigate the ethical challenges posed by artificial intelligence and foster a more equitable technological landscape.