What three core concepts coalesce around the established principles for working effectively in responsible AI?
Answer
Fairness, accountability, and transparency
The core concepts that must be established as a shared foundation for effective responsible AI work are ensuring that AI systems are fair, accountable, and transparent, alongside security.
Related Questions
What three core concepts coalesce around the established principles for working effectively in responsible AI?What is the primary difference in focus between ethical AI and responsible AI?What critical shift in perspective is emphasized regarding accountability in AI systems?What characteristic must a formal governance mechanism possess to successfully bridge the gap between abstract ideals and operational rules?According to the provided mapping table, which area corresponds primarily to 'Explainability' in the IBM framework?What constitutes the foundational document that translates general responsible AI principles into actionable operational guidelines?Which essential role is responsible for ensuring adherence to both internal and external ethical practices within an AI team?In the context of operationalizing responsibility, what specific failure mode in an airline chatbot example did the company attempt to use to avoid accountability?Which required pillar of the Responsible AI Policy mandates the establishment of approval workflows and an appeals process for affected individuals?Why is assembling interdisciplinary and diverse teams considered essential in responsible AI work?