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Standardization of AI Ethics : Stakeholders, Values and Profit.
- Format:
- Book
- Author/Creator:
- Corrêa, Nicholas Kluge.
- Language:
- English
- Physical Description:
- 1 online resource (163 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Bielefeld : transcript Verlag, 2026.
- Summary:
- The relationship between AI, ethics, societal values and standardization is complex.The contributors to this volume discuss the challenges and opportunities involved in standardizing AI ethics, including algorithmic audits, stakeholder participation and certification mechanisms.
- Contents:
- Cover
- Contents
- Series Preface
- Introduction
- Should AI Auditors Be Audited?
- The Algorithmic Audit Ecosystem and Its Structural Challenges
- Auditing as an Algorithmic Governance Tool
- Diagnosis of Systemic Failures and Risks
- Institutional, Regulatory and Technical Pathways Towards Trustworthy Audits
- Regulatory Frameworks and Compliance Mechanisms
- Dynamic Auditing and Post‐Market Monitoring
- Collaborative Ecosystems and Meta‐Audit Infrastructure
- Limitations
- Conclusion
- References
- Citizens Infrastructures as a Way to Govern AI's Power to Shape our Shared Representations
- The Misalignment Between AI Deployment, Societal Values and Expectations
- Over‐Promising and Under‐Delivering
- The Alignment Problem
- The Problem with Current Auditing Institutions
- Defining AI Auditing
- Why Add Infrastructures?
- Proposing a Solution: Citizens Infrastructures to Support AI Audit
- A Proposition for Governance
- A Way to Claim Agency over the Power of AI to Shape Our Shared Representations, Values and Behaviors
- Algorithmic Audits of HR‑AI Tools in the United States
- IntroductionBackground
- Use of Artificial Intelligence in the Human Resource Sector
- Algorithmic Audits of HR‑AI Tools
- Research Focus
- Methods
- Data Collection
- Sampling Strategy
- Demographics
- Survey Design
- Data Analysis
- Statistical calculations
- Qualitative analysis
- Findings
- RQ 1: Trust in AI and Trust in HR‑AI Tools
- Trust in AI
- Trust in HR‑AI Tools
- Knowledge of Job Seekers About Use of AI in Human Resources
- Overall Experience Using HR‑AI Tools
- Trust of HR Managers and Recruiters and Job Seekers in HR‑AI Tools
- RQ 2: Knowledge about Algorithmic Audits, Experience with Audits
- Knowledge about Algorithmic Audits and the New York City Law.
- Experience with Algorithmic Audits
- RQ3: Stakeholders' Perspectives on Algorithmic Audits of HR‑AI Tools
- Importance of Algorithmic Audits
- Desired Frequency of Algorithmic Audits
- Other Thoughts about Algorithmic Auditing
- Human‐in‐the‐loop
- Performance of Audits
- Independence of Auditor
- Discussion
- Trust of Stakeholders in AI and in HR‑AI tools
- Knowledge about Algorithmic Audits and in particular Algorithmic Audits in HR
- Perspectives of Stakeholders and Importance of Algorithmic Audits
- Limitations and Future Work
- Acknowledgements
- Annex
- Quotes regarding the performance of audits
- To be Cared for or Deceived?
- Background
- Is it Possible to Operationalize Ethics?
- The Non‐Neutrality of Technology
- STS, SCOT and Feminist Epistemologies
- Digital Technologies as a Lens to Read Embedded Values
- The Implementation of Moral Values into Technological Design
- Value‐Sensitive Design, Care Ethics and User‐Centered Design Approach
- Operationalizing Ethics in the Case of Elderly Care Robots
- Social Robotics and Robots to Combat Loneliness
- How Can Companion Robots be Ethical?
- The Accusation of Deception
- Another Perspective: Emotions as Coordination and the Relational View of the Self
- New Ways to Determine Deception
- Ethics by Law in Social Robotics: Preliminary Reflections on Article 5 of the AI Act
- Preliminary Guidelines
- Practioner's Corner
- Navigating Challenges and Opportunities of Standards Developing Organizations in Times of Rapid Technological Advancement
- Ethics in AI and Business
- Challenges in Standardizing AI Ethics
- Formalizing Ethics and Certification Mechanisms in AI
- Successful Co‑Creation of AI Standards: Insights from Practice.
- Mechanisms for Ensuring Inclusive and Fair Standards
- References.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-8394-7843-X
- 9783839478431
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