Book contents
- The Cambridge Handbook of Information Technology, Life Sciences and Human Rights
- The Cambridge Handbook of Information Technology, Life Sciences and Human Rights
- Copyright page
- Contents
- Tables
- Contributors
- Acknowledgements
- Introduction
- Part I Life Sciences and Human Rights
- Part II Information and Communication Technologies and Human Rights
- 10 The Right to Internet Access
- 11 Face Recognition and the Right to Stay Anonymous
- 12 Artificial Intelligence and the Right to Algorithmic Transparency
- 13 Machine Learning, Cognitive Sovereignty and Data Protection Rights with Respect to Automated Decisions
- 14 Going Dark or Living Forever
- 15 Artificial Intelligence and Children’s Rights
- 16 Internet of Things Devices, Citizen Science Research and the Right to Science
- 17 Connected but Still Excluded?
- Part III Towards a Convergence
12 - Artificial Intelligence and the Right to Algorithmic Transparency
from Part II - Information and Communication Technologies and Human Rights
Published online by Cambridge University Press: 17 May 2022
- The Cambridge Handbook of Information Technology, Life Sciences and Human Rights
- The Cambridge Handbook of Information Technology, Life Sciences and Human Rights
- Copyright page
- Contents
- Tables
- Contributors
- Acknowledgements
- Introduction
- Part I Life Sciences and Human Rights
- Part II Information and Communication Technologies and Human Rights
- 10 The Right to Internet Access
- 11 Face Recognition and the Right to Stay Anonymous
- 12 Artificial Intelligence and the Right to Algorithmic Transparency
- 13 Machine Learning, Cognitive Sovereignty and Data Protection Rights with Respect to Automated Decisions
- 14 Going Dark or Living Forever
- 15 Artificial Intelligence and Children’s Rights
- 16 Internet of Things Devices, Citizen Science Research and the Right to Science
- 17 Connected but Still Excluded?
- Part III Towards a Convergence
Summary
Algorithmic transparency is the basis of machine accountability and the cornerstone of policy frameworks that regulate the use of artificial intelligence techniques. The goal of algorithmic transparency is to ensure accuracy and fairness in decisions concerning individuals.AI techniques replicate bias, and as these techniques become more complex, bias becomes more difficult to detect. But the principle of algorithmic transparency remains important across a wide range of sectors. Credit determinations, employment assessments, educational tracking, as well as decisions about government benefits, border crossings, communications surveillance and even inspections in sports stadiums increasingly rely on black box techniques that produce results that are unaccountable, opaque, and often unfair. Even the organizations that rely on these methods often do not fully understand their impact or their weaknesses.
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- Publisher: Cambridge University PressPrint publication year: 2022
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