Ethical governance of artificial intelligence in the public sector / Liza Ireni Saban and Maya Sherman.

Format:

Book

Author/Creator:

Ireni Saban, Liza, author.

Sherman, Maya, author.

Language:

English

Subjects (All):

Artificial intelligence--Moral and ethical aspects.

Artificial intelligence.

Artificial intelligence--Government policy.

Physical Description:

1 online resource (121 pages)

Edition:

1st ed.

Place of Publication:

Abingdon, Oxon, England ; New York, New York : Routledge, [2022]

Biography/History:

Liza Ireni-Saban is the deputy dean and a senior lecturer at the Lauder School of Government, Diplomacy and Strategy, Interdisciplinary Centre (IDC) in Herzliya, Israel. Maya Sherman is a student in Government, Diplomacy and Strategy at the Interdisciplinary Centre (IDC) in Herzliya, Israel.

Summary:

"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.

Contents:

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

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, &amp

ASI)

Algorithmic Bias

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

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

Index.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-00-310667-6

1-003-10667-6

1-000-43432-X

9781003106678

OCLC:

1248601668