Affiliation:
1. Asia University, Taiwan
2. California State University, San Bernardino, USA
3. Jawaharlal Nehru University, New Delhi, India
Abstract
The rapid growth in artificial intelligence (AI) has created many opportunities, this further leads to ethical concerns. Everyone claims to be ethical however, there is a notable gap between stating ethical behavior and maintaining high ethical standards. AI ethics is an arena that has arisen as a response to rising concern. AI ethics is a subclass of digital ethics, reporting concerns about the influence of AI related to their growth and deployment. This chapter undertakes a comprehensive exploration of AI ethics, discussing its basic concepts, and historical prescriptive, along with key ethical theories and their roles, while focusing on the responsibilities of stakeholders in AI ethics. It is important to challenge the AI ethics for AI experts and decision-makers. To accomplish this, the chapter analyses AI ethics' previous, existing, and upcoming statuses.
Reference67 articles.
1. Каримов, А. Р., Мирко, Ф., Андреа, Л., & Жданов, П (2022). AI and society: a virtue ethics approach.
2. Ademola, O. E. (2024) Detailing the Stakeholder Theory of Management in the AI World: A Position Paper on Ethical Decision-making Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection. IEEE.https://ieeexplore.ieee.org/document/9327495
3. Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
4. Bennett, C. L., & Keyes, O. (2020). What is the point of fairness? Disability, AI and the complexity of justice. ACM SIGACCESS accessibility and computing, (125), 1-1. ACM.
5. Ethics by design for artificial intelligence