AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers

Artificial intelligence (AI) solutions and technologies are being increasingly adopted in smart systems contexts; however, such concerned with ethical uncertainties. Various guidelines, principles, regulatory frameworks designed to ensure that AI adhere well-being. However, the implications of ethics principles guidelines still debated. To further explore significance relevant challenges, we conducted a survey 99 randomly selected representative practitioners lawmakers (e.g., engineers lawyers) from 20 countries across five continents. best our knowledge, this is first empirical study unveils perceptions two different types population (AI lawmakers) findings confirm transparency, accountability, privacy most critical principles. On other hand, lack no legal frameworks, lacking monitoring bodies found be common challenges. The impact analysis challenges reveals conflict practice highly severe challenge. Moreover, statistically correlated significant differences for particular (e.g. fairness freedom) machine distortion). Our stimulate research, particularly empowering existing capability maturity models support ethics-aware systems’ development quality assessment.