Corpus ID: 237532514

Ethics of AI: A Systematic Literature Review of Principles and Challenges

  title={Ethics of AI: A Systematic Literature Review of Principles and Challenges},
  author={Arif Ali Khan and Sher Badshah and Peng Liang and Bilal Khan and Muhammad Waseem and Mahmood Niazi and Muhammad Azeem Akbar},
Ethics in AI becomes a global topic of interest for both policymakers and academic researchers. In the last few years, various research organizations, lawyers, think tankers and regulatory bodies get involved in developing AI ethics guidelines and principles. However, there is still debate about the implications of these principles. We conducted a systematic literature review (SLR) study to investigate the agreement on the significance of AI principles and identify the challenging factors that… Expand

Figures and Tables from this paper


The global landscape of AI ethics guidelines
In the past five years, private companies, research institutions and public sector organizations have issued principles and guidelines for ethical artificial intelligence (AI). However, despite anExpand
Information privacy, impact assessment, and the place of ethics⁎
  • C. Raab
  • Computer Science, Sociology
  • Comput. Law Secur. Rev.
  • 2020
This article illustrates and explores some of the perspectives, proposals, inventories and other materials that comprise the efforts to define principles and frameworks for advanced technologies and systems, including governance and the making of ethics-based judgments. Expand
Implementing Ethics in AI: Initial results of an industrial multiple case study
This paper begins to address the focal problem of implementing ethics into AI system design and development in practice by providing elements needed for producing a baseline for ethics in AI based software development by means of an industrial multiple case study on AI systems development in the healthcare sector. Expand
Does ACM’s code of ethics change ethical decision making in software development?
This work replicated a prior behavioral ethics study with 63 software engineering students and 105 professional software developers, and found that explicitly instructing participants to consider the ACM code of ethics in their decision making had no observed effect when compared with a control group. Expand
Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities
Abstract Products and services empowered by artificial intelligence (AI) are becoming widespread in today’s marketplace. However, consumers have mixed feelings about AI technologies due to theExpand
Beyond the promise: implementing ethical AI
Businesses that implement strong governance frameworks, overseen by an ethics board and strengthened with appropriate training, will reduce the risks associated with AI and make it easier for businesses to bring their AI deployments to scale. Expand
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
The core opportunities and risks of AI for society are introduced; a synthesis of five ethical principles that should undergird its development and adoption are presented; and 20 concrete recommendations are offered to serve as a firm foundation for the establishment of a Good AI Society. Expand
Beyond fairness, accountability, and transparency in the ethics of algorithms: Contributions and perspectives from LIS
Recent debates have revealed the urgent need for work addressing social and ethical implications of the algorithmic and data‐driven systems that govern our lives. Focusing largely on machine learningExpand
“This is Just a Prototype”: How Ethics Are Ignored in Software Startup-Like Environments
The state of the art in startup-like environments where majority of the AI software today gets developed is explored, and existing good practices that can already support the implementation of AI ethics, such as documentation and error handling are outlined. Expand
AI Ethics in Industry: A Research Framework
This paper discusses a research framework for implementing AI ethics in industrial settings and presents a starting point for empirical studies into AI ethics but is still being developed further based on its practical utilization. Expand