Trolley Crash : Approaching Key Metrics for Ethical AI Practitioners, Researchers, and Policy Makers

The prolific deployment of Artificial Intelligence (AI) across different applications has introduced novel challenges for AI developers and researchers. AI is permeating decision making for the masses, from self-driving automobiles to financial loan approvals. With AI making decisions that have ethical implications, responsibilities are now being pushed to AI designers who may be far-removed from how, where, and when the ethical decisions occur. Ethical Computing for Engineers, Operators, and AI Designers: Key Performance Parameters for Ethical Artificial Intelligence provides audiences with a catalogue of methodologies and perspectives from the most current research in ethical computing, integrating philosophical frameworks and computational approaches to ethical reasoning in the current artificial intelligence landscape, with a specific focus on approaches for developing metrics. Written for AI researchers, ethicists, computer scientists, software engineers, operations researchers, and autonomous systems designers and developers, this will be a welcome reference for those who wish to better understand metrics and measurements related to ethical reasoning in autonomous systems and related computational aspects.