DCO Principles for Ethical AI
The DCO Principles for Ethical AI are a set of principles grounded in the best international practices. They provide the DCO Member States with a shared foundation for AI governance offering them clear policy guidance with a strong emphasis on human rights protection. The principles aim to ensure consistent ethical standards across the DCO ecosystem while allowing flexibility for localized implementation. They were officially adopted by the Member States at the DCO General Assembly earlier this year.
The principles include:
Accountability:
Ensuring accountability by establishing clear responsibilities for AI outcomes and guaranteeing reliable, transparent performance throughout the AI system’s lifecycle.
Transparency & Explainability:
Promoting transparency and explainability by clearly communicating the processes, decisions, and logic behind AI systems to stakeholders.
Fairness & Non-Discrimination:
Upholding fairness and non-discrimination by building AI systems that prevent bias and promote equitable outcomes for all.
Privacy:
Developing and deploying AI systems that proactively safeguard individuals’ privacy, encompassing not only data protection but also the broader aspects of personal autonomy, consent, and the right to control one’s own information.
Sustainability & Environmental Impact:
Developing and deploying AI systems with consideration for their environmental impact, ensuring that AI technologies contribute to sustainability by minimizing energy consumption, reducing carbon footprints, and promoting eco-friendly practices throughout their lifecycle.
Human-Centered Development & Social Benefit:
Developing and deploying AI systems with a strong focus on human well-being, ensuring they contribute positively to social progress and provide tangible benefits to individuals and communities.
Human Autonomy and Oversight:
Developing and deploying AI systems in a way that preserves human autonomy and ensures robust oversight, enabling individuals to make informed decisions and intervene in AI-driven processes when necessary.
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