Delivery Responsibility and for Artificial Intelligence Systems

Authors

  • Paula Cristina de Almeida Marques School of Economics and Management, University of Minho, Braga, Portugal
  • Marcelo Santana Porte Department of Accounting Sciences, Federal University of Rio Grande do Norte, Natal, Brazil

Keywords:

Accountability, Artificial Intelligence, Industry and international organizations, Risks of AI

Abstract

This white paper aims to define the steps that need to be taken to achieve accountability in the context of Artificial Intelligence (AI) accelerated systems and builds on previous work by industry and international organizations. We here present the backbone for a risk-based accountability framework for AI systems. To do so, we first review the concept of accountability, the technical risks brought upon by AI and their possible implications for society and organizations. Finally, we conclude on the next step to take in our research project towards an accountability framework for AI systems.

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Published

17-09-2022

How to Cite

[1]
P. C. de A. Marques and M. S. Porte, “Delivery Responsibility and for Artificial Intelligence Systems”, IJRAMT, vol. 3, no. 9, pp. 19–28, Sep. 2022.

Issue

Section

Articles