Ethical AI

Artificial intelligence (AI) is increasingly applied in ways that influence individuals, groups, and societies. With an eye on this development, IFE places great importance on engaging in research and development projects on ethical AI and the ethical management of AI.

What is ethical AI?

Ethical AI is concerned with specifying the right and wrong conduct of AI and of the agents who are accountable for AI applications (e.g., developers, manufacturers, authorities, operators, managers). A recent study by Jobin et al. (2019) finds global convergence around five principles that constitute “ethical AI,” including:

  • Transparency: How AI works should be possible to explain and understand
  • Fairness: AI should promote equality. It should not display unwanted bias or discrimination
  • Non-maleficence: AI should not cause both foreseeable and unintentional harm
  • Privacy: AI should support people’s right to privacy and respect people’s personal autonomy and integrity
  • Responsibility or Accountability: The organizations designing and deploying AI should act with integrity and be both legally and morally responsible for AI’s actions

Working with ethical AI

Working with ethical AI involves formulating the necessary ethical principles, guidelines, policies, and regulations for AI as well as efforts to design AI that performs in-line with these principles, guidelines, policies, and regulations. Work on the topic also includes efforts to identify how organizations can implement AI in ways that comply with ethical AI principles and governance structures as well as factors that may hinder ethical AI management in practice. IFE engages in research and development activities in each domain to support state-of-art knowledge and practice in the field.

The figure below shows the three main domains of ethical AI research.

Domains of ethical AI research

Recent publications

  • Solberg, E., Kaarstad, M., Eitrheim, M. H. R., Bisio, R., Reegård, K., & Bloch, M. (2022). A Conceptual Model of Trust, Perceived Risk, and Reliance on AI Decision Aids. Group & Organization Management
  • Blackett, C. (2021). Human-Centered Design in an Automated World. Proceedings of the 4th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2021), Feb 22-24, Italy.

IFE does research on assignments.
Please contact:

Solberg, Elizabeth

Human-Centred Digitalization,

+47 464 10 199

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