Implementing AI Ethics in Practice: An Empirical Evaluation of the
RESOLVEDD Strategy
- URL: http://arxiv.org/abs/2004.10191v1
- Date: Tue, 21 Apr 2020 17:58:53 GMT
- Title: Implementing AI Ethics in Practice: An Empirical Evaluation of the
RESOLVEDD Strategy
- Authors: Ville Vakkuri, Kai-Kristian Kemell
- Abstract summary: We empirically evaluate an existing method from the field of business ethics, the RESOLVEDD strategy, in the context of ethical system development.
One of our key findings is that, even though the use of the ethical method was forced upon the participants, its utilization nonetheless facilitated of ethical consideration in the projects.
- Score: 6.7298812735467095
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: As Artificial Intelligence (AI) systems exert a growing influence on society,
real-life incidents begin to underline the importance of AI Ethics. Though
calls for more ethical AI systems have been voiced by scholars and the general
public alike, few empirical studies on the topic exist. Similarly, few tools
and methods designed for implementing AI ethics into practice currently exist.
To provide empirical data into this on-going discussion, we empirically
evaluate an existing method from the field of business ethics, the RESOLVEDD
strategy, in the context of ethical system development. We evaluated RESOLVEDD
by means of a multiple case study of five student projects where its use was
given as one of the design requirements for the projects. One of our key
findings is that, even though the use of the ethical method was forced upon the
participants, its utilization nonetheless facilitated of ethical consideration
in the projects. Specifically, it resulted in the developers displaying more
responsibility, even though the use of the tool did not stem from intrinsic
motivation.
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