Ethical governance of artificial intelligence in the public sector / Liza Ireni-Saban and Maya Sherman.
Material type: TextSeries: Routledge studies in policy and powerPublisher: Abingdon, Oxon ; New York, NY : Routledge, 2022Copyright date: ©2022Description: 1 online resource (114 pages)Content type:- text
- computer
- online resource
- 9781003106678
- 1003106676
- 9781000434323
- 100043432X
- 9781000434330
- 1000434338
- 172/.2 23
- Q334.7 .I74 2022
"Routledge Focus" -- Cover.
"This book argues that ethical evaluation of AI should be an integral part of public service ethics and that an effective normative framework is needed to provide ethical principles and evaluation for decision-making in the public sphere, at both local and international levels. It introduces how the tenets of prudential rationality ethics through critical engagement with intersectionality can contribute to a more successful negotiation of the challenges created by AI technological innovations and afford a relational, interactive, flexible, and fluid framework that meets the features of AI research projects, so that core public and individual values are still honoured in the face of technological development. This book will be of key interest to scholars, students and professionals engaged in public management and ethics management, AI ethics, public organizations, public service leadership, compliance and more broadly to public administration and policy, applied ethics and philosophy"-- Provided by publisher.
Cover -- Half Title -- Series Information -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- The Book's Outline -- References -- 1 Ethics of Algorithms -- The Role of Algorithms in Decision-Making -- Key Concepts of Ethical Algorithms -- Inconclusive Evidence -- Inscrutable Evidence -- Misguided Evidence -- Unfair Outcomes -- Transformative Effects -- Traceability -- Ethical Implications of Algorithmic Design -- Algorithmic Inconclusive Evidence Guides Unjustified Actions -- Transparency and Interpretability of Algorithms Is Infeasible -- Biased Decisions By Algorithms
Profiling Algorithms Leading to Discrimination -- Algorithm's Threat to Autonomy -- Challenges for Informational Privacy -- Traceability as a Path to Moral Responsibility -- References -- 2 Overview of AI Taxonomy and Technological Methods -- Between AI and Intelligence -- National Security Perspective of AI Taxonomy -- AI Techniques and Evolutionary Stages (ANI, AGI, & ASI) -- Algorithmic Bias -- References -- 3 Developing Ethical Framework for Ethical Responsible Innovation -- Governance of Responsible Innovation -- Ethical Approaches to Responsible Innovation: Deontology and Consequentialism
Prudential Ethics and Responsible Innovation -- The Wisdom of Prudence in Politics -- Reconciliation Project-Justification for Ethical Egoism in Politics -- What Is Ethical Egoism? -- Reconciliation Project: Ethics and Self-Interest Reconciled With Prudential Reasoning -- References -- 4 Prudential Ethics and Intersectionality: Towards a Normative Framework for AI Applications -- Origins of Intersectionality -- Development of Intersectionality Theory -- Enhancing Prudential Ethics With Intersectionality -- Incorporating Intersectionality and Prudential Ethics Into AI Policymaking and Application
Note -- References -- 5 Contemporary Analysis of AI Affairs in the International Arena -- Cultural Perspectives of Surveillance and Facial Recognition Technologies -- Influence Operations and AI Threats to the Democratic Ethos -- AI-driven Disinformation 2.0 -- Deepfake -- Between AI Technologies and the COVID-19 Pandemic -- Critical Approach to AI Governance in the Public Sector -- References -- Index
OCLC-licensed vendor bibliographic record.
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