The harder work is moving from values, concepts, and principles to substantive, practical commitments that are action-guiding and measurable. However, articulating values, ethical concepts, and general principles is only the first step-and in many ways the easiest one-in addressing AI and data ethics challenges. In response, many companies, nongovernmental organizations, and governmental entities have adopted AI or data ethics frameworks and principles meant to demonstrate a commitment to addressing the challenges posed by AI and, crucially, guide organizational efforts to develop and implement AI in socially and ethically responsible ways. ![]() Organizations are increasingly expected to address these and other ethical issues. ![]() There is widespread awareness among researchers, companies, policy makers, and the public that the use of artificial intelligence (AI) and big data raises challenges involving justice, privacy, autonomy, transparency, and accountability.
0 Comments
Leave a Reply. |