Author: N/A
Publisher: Saidot
Publication Year: 2021
Summary: The following article outlines 6 building blocks of an ethical artificial intelligence (AI) governance framework. These include strategy and values (acceptable use of AI in alignment with business strategy); people and culture (human competencies and cultural capabilities to enable and support the development and use of AI in an ethically sustainable and socially acceptable way); stakeholder engagement (processes and practices for normative consensus building and alignment between an organization and its key stakeholders, incl. ethical data and AI supply chain); risk and impact assessment (policies, standards, processes and technologies for contextual AI risk identification, risk and impact assessment); accountability and oversight (proper accountability mechanisms and human oversight of AI systems); and transparency (ensuring traceability, explainability, contestability).
