What are the five steps mentioned in the chapter for ensuring ethical AI, and what does each involve?
The chapter lists five steps for ensuring ethical AI: Ethics by Design, Interdisciplinary Collaboration, Continuous Auditing, Education and Awareness, and Regulation and Governance. Ethics by Design embeds fairness, privacy, and inclusivity from the start. Interdisciplinary Collaboration brings ethicists, sociologists, lawyers, and end-users together with engineers. Continuous Auditing monitors AI in real time for bias, privacy lapses, or compliance issues. Education and Awareness trains developers, policymakers, and the public on responsible AI, and Regulation and Governance establishes clear, enforceable policies with ongoing oversight.
These five steps form a circular roadmap for embedding ethics into AI systems from the outset. Ethics by Design means ethical principles such as fairness, privacy, and inclusivity are built into AI from the beginning, exemplified by Google's AI Principles mandating "do no harm" and the EU AI Act's bans on high-risk uses like subliminal manipulation. Interdisciplinary Collaboration involves combining technical work with diverse expertise from ethicists, sociologists, lawyers, and end-users, as seen in UNESCO's call to integrate social, legal, and cultural insights and research teams that interpret AI laws alongside engineers. Continuous Auditing is the ongoing real-time monitoring of AI to detect bias, privacy lapses, or compliance failures, using tools like IBM Fairness 360 for bias detection, MindBridge for financial anomalies, and government assurance roadmaps. Education and Awareness seeks to train all stakeholders, including developers, policymakers, and the public, through initiatives such as Finland's Elements AI course, Denmark's AI Skills Pact, and UNESCO–LG AI's MOOC on ethics. Regulation and Governance requires clear, enforceable policies with sustained oversight, represented by the EU AI Act, Singapore's Model AI Governance Framework, the NIST AI Risk Management Framework, China's Algorithmic Recommendations Provisions, and the UN's "Governing AI for Humanity" proposal. Together these steps aim to ensure AI serves humanity's best interests.
Key points
- Ethics by Design embeds fairness, privacy, and inclusivity into AI systems from the start.
- Interdisciplinary Collaboration brings together engineers with ethicists, sociologists, lawyers, and end-users.
- Continuous Auditing involves real-time monitoring and assessment to detect bias, privacy lapses, or compliance issues.
- Education and Awareness trains developers, policymakers, and the public on responsible AI.
- Regulation and Governance establishes enforceable policies with built-in, ongoing AI oversight.
AI for the Ordinary_ A Non-technical Playbook for Citizens, Students, and Manage
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First edition · CRC Press