Promoting Ethical AI: Strategies for Transparency and Accountability
Promoting Ethical AI Strategies for Transparency and Accountability
AI is transforming society, but raises ethical concerns.
How can we ensure AI is fair, trustworthy, and aligned with human values?
We explore strategies for promoting ethical AI.
Transparency and accountability are key dimensions of ethical AI.
Transparency enables understanding of how AI works, while accountability holds stakeholders responsible for its actions.
The strategies for enhancing transparency and accountability in AI systems are data documentation explainability auditing certification governance
Data documentation ensures reliable relevant representative respectful of data subjects and stakeholders
Explainability provides understandable and meaningful explanations of how AI works, why it makes certain decisions or predictions, and what factors influence its outcomes.
Auditing assesses and verifies compliance and performance of an AI system against standards or criteria.
Certification grants formal recognition or endorsement to an AI system or its developers that indicates they have met certain standards or criteria of quality, safety, or ethics.
Governance establishes and enforces rules, roles, responsibilities, and rights of actors involved in the development or use of an AI system.