Ethical Considerations of Artificial Intelligence: Ensuring Fairness, Transparency, and Explainability

2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference, pp. 1–7

Abstract

Many digital leaders are currently dealing with expanding into the highly sought-after “holy grail” of digitization by deploying Artificial Intelligence (AI) solutions. While AI projects of all types are being launched prolifically, clouds of doubt are forming around the credibility of AI results. AI has many potential benefits for businesses, but these will be realized only if people trust these tools to produce unbiased results. Managing transformation in the digital age requires leaders who not only understand the potential of these tools but also possess the necessary human skills to reshape the organization. This paper addresses one particular human dimension in some depthethical AI-and the actions successful digital leaders take to build trust in its results. It introduces a conceptual model of ethical AI considerations to ensure the use of this potentially lucrative, yet disruptive technology is indeed fair, explainable, and productive.

Authors 3

1. Haroon R. Abbu

   North Carolina State University

   Affiliation as printed

   North Carolina State University,Business Analytics Initiative, Poole College of Management,Raleigh,NC,27659

2. Paul Mugge

   North Carolina State University

   Affiliation as printed

   North Carolina State University,Business Analytics Initiative, Poole College of Management,Raleigh,NC,27659

3. Gerhard Gudergan Aachen FIR Institute for Industrial Management

   RWTH Aachen University · FIR e. V. an der RWTH Aachen

   Affiliation as printed

   FIR Institute for Industrial Management, RWTH Aachen University,Aachen,Germany

   FIR Institute for Industrial Management, RWTH Aachen University, Aachen, Germany