Debiasing AI

Introduction: Debiasing AI: Rethinking the Intersection of Innovation and Sustainability

PART ONE Ontology of AI Ethics: Ethical AI Principles

1 AI and Moral Agency: Can AI Have a Sense of Morality?

2 Decoding Algorithmic Privacy: How to Address Privacy Issues Raised by AI

3 AI and Transparency: In Transparency We Trust

PART TWO Phenomenology of AI Ethics: How People Experience AI Ethics

4 Algorithmic Bias and Trust: How to Debias and Build Trust in AI

5 Algorithmic Nudge: A Nudge to Counter Algorithmic Bias

6 Algorithmic Heuristics: How People Evaluate the Ethics of Deepfakes

PART THREE Epistemology of AI Ethics: Mechanism of Understanding AI Ethics

7 Algorithmic Equity: How Humans Understand AI Morality

8 The Ethics of AI Acceptance: How Ethical Heuristics Drive AI Adoption

9 Responsible AI and the Newsroom: How Does AI Journalism Make Sense of AI Ethics?

PART FOUR Governance of AI Ethics: Striking the Right Balance Ethics and Regulation

10 The Moral Code: The Intersection of Ethics and Regulation in AI

11 Diversity-Aware AI: Designing AI Systems That Reflect Humanity

12 Algorithmic Inoculation: Immunizing Minds Against Bias

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Financiamento e política da ciência
• Ética e filosofia moral
• Inteligência artificial
• Sociologia
• Estrutura e processos políticos
• Estudos de meios de comunicação
• Interacção homem-computador
• Aspectos jurídicos da Tecnologia Informática
• Aspectos éticos e sociais da Tecnologia Informática
• Imprensa e jornalismo

Algorithmic prejudice;Generative AI;Human-Information Interaction;Machine Learning;Privacy Regulations;Responsible AI;Socially Aware AI;Transparent AI