Despite their commonly accepted usefulness, AI technologies are concerned with ethical unreliability. Various guidelines, principles, and regulatory frameworks are designed to ensure that AI technologies bring ethical well-being. However, the implications of AI ethics principles and guidelines are still being debated. To further explore the significance of AI ethics principles and relevant challenges, we conducted an empirical survey of 99 AI practitioners and lawmakers from twenty countries across five continents. Study findings confirm that transparency, accountability, and privacy are the most critical AI ethics principles. On the other hand, lack of ethical knowledge, no legal frameworks, and lacking monitoring bodies are found the most common AI ethics challenges. The impact analysis of the challenges across AI ethics principles reveals that conflict in practice is a highly severe challenge. Our findings stimulate further research, epically empowering existing capability maturity models to support the quality assessment of ethics-aware AI systems.
翻译:各种准则、原则和监管框架旨在确保AI技术带来道德福利,然而,对AI道德原则和准则的影响分析显示,AI道德原则的实践冲突是一个非常严峻的挑战。我们的调查结果激发了进一步的研究,极大地增强了现有能力成熟模式,以支持对AI系统进行质量评估。