Risks of AI-driven product development and strategies for their mitigation

TL;DR

This paper discusses the potential risks associated with AI-driven product development and proposes principles for safer implementation emphasizing oversight, accountability, and explainability.

Contribution

It introduces a set of safety principles and risk assessment frameworks for mitigating technical and sociotechnical risks in AI-driven product development.

Findings

Identifies key technical and sociotechnical risks

Proposes safety principles for AI-driven development

Highlights importance of human oversight and accountability

Abstract

Humanity is progressing towards automated product development, a trend that promises faster creation of better products and thus the acceleration of technological progress. However, increasing reliance on non-human agents for this process introduces many risks. This perspective aims to initiate a discussion on these risks and appropriate mitigation strategies. To this end, we outline a set of principles for safer AI-driven product development which emphasize human oversight, accountability, and explainable design, among others. The risk assessment covers both technical risks which affect product quality and safety, and sociotechnical risks which affect society. While AI-driven product development is still in its early stages, this discussion will help balance its opportunities and risks without delaying essential progress in understanding, norm-setting, and regulation.