We review practical challenges in building and deploying ethical AI at the scale of contemporary industrial and societal uses. Apart from the purely technical concerns that are the usual focus of academic research, the operational challenges of inconsistent regulatory pressures, conflicting business goals, data quality issues, development processes, systems integration practices, and the scale of deployment all conspire to create new ethical risks. Such ethical concerns arising from these practical considerations are not adequately addressed by existing research results. We argue that a holistic consideration of ethics in the development and deployment of AI systems is necessary for building ethical AI in practice, and exhort researchers to consider the full operational contexts of AI systems when assessing ethical risks.
翻译:我们审视了在当代工业和社会用途范围内建立和部署符合道德的AI方面的实际挑战。除了学术研究通常关注的纯技术问题外,监管压力不一致、相互冲突的商业目标、数据质量问题、发展进程、系统整合做法以及部署规模等带来的业务挑战都合谋产生新的道德风险。现有研究结果没有充分解决这些实际考虑引起的这种道德关切。我们主张,在开发和部署符合道德的AI系统时全面考虑道德问题,对于在实践中建立符合道德的AI系统是必要的。我们敦促研究人员在评估道德风险时,考虑AI系统的全面运作环境。