Frameworks and principles for AI
There are a number of frameworks and principles for AI. OECD AI PRINCIPLES The OECD AI Principles were first adopted in 2019 and updated in 2024 to reflect new technological and policy developments. They set out certain value-based principles as well as recommendations for policy makers in using AI. They are intended to help policymakers and AI Actors create AI that is innovative, trustworthy, and respects human rights and democratic values. This list of value-based principles which clearly have various ethical issues at their heart: Inclusive growth, sustainable development and well-being. Human rights and democratic values, including fairness and privacy.
Transparency and explainability. Robustness, security and safety. Accountability. And here are the recommendations for policy makers: Investing in AI research and development. Fostering an inclusive AI-enabling ecosystem. Shaping an enabling interoperable governance and policy environment for AI. Building human capacity to prepare for labour market transition. International co-operation for trustworthy AI.
AI AND ETHICS | PART ONE: FRAMEWORKS AND PRINCIPLES FOR AI
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