AI ethics analysis clarifies why different goals call for different ethical approaches
AI ethics has come under increasing criticism. Critics argue that while companies publish guidelines for AI development and use, the AI systems themselves often remain problematic. Researchers from the University of Bayreuth, Saarland University and the CISPA Helmholtz Center for Information Security demonstrate in a new publication that debates on AI ethics are frequently shaped by a fundamental…
This research publication from the University of Bayreuth sheds light on the multifaceted nature of AI ethics and why different objectives require tailored ethical approaches. Critics have long pointed out that while companies may publish AI development guidelines, the systems often still pose problems. However, the researchers argue that the term "AI ethics" encompasses a broad spectrum of activities with distinct aims.
Rather than questioning the usefulness of AI ethics as a whole, the focus should shift to determining which type of AI ethics is most suitable for a specific purpose. Lead author Dr. Astrid Schomäcker and her colleagues from the AI Responsibility Centre at the University of Bayreuth identify three core goals of AI ethics: understanding the moral, social, and normative aspects of AI, communicating these insights, and ultimately applying them responsibly to the practical development and deployment of AI systems.
The study also highlights four key areas where AI ethics operates: research, education, the actual development of AI systems, and governance mechanisms like ethics boards, guidelines, and legislation. By examining these domains, the researchers aim to clarify how AI ethics can be valuable in various contexts while acknowledging existing challenges.
A key takeaway is that criticism of specific AI ethical instruments should not automatically discredit the entire field. For instance, some ethical guidelines may have limited impact on real-world AI development. However, this does not mean that other aspects, such as research, education, or governance, are equally ineffective. The researchers emphasize that AI ethics should not be reduced to legislation or replaced by market mechanisms.
Instead, research and public debate are essential in determining the appropriate rules and values that should govern AI development and use.
Moreover, ethics committees and academic assessments can often respond more swiftly to new technological advancements than legislative processes. Ultimately, the value of AI ethics depends on the objective being pursued and the specific instrument employed. For responsible AI development, a combination of different forms of AI ethics is necessary, tailored to match the goals and approaches effectively.
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