As artificial intelligence (AI) permeates across social and economic life, its ethical and governance implications have come to the forefront. Active debates surround AI's role in labor displacement, autonomous vehicles, military, misinformation, healthcare, education, and more. As societies collectively grapple with these challenges, new opportunities for AI to proactively contribute to social good (AI4SG) and equity (AI4Eq) have also been proposed [1], [2], such as Microsoft's AI for Earth program. These efforts highlight the potential of AI to address global challenges and help achieve targets like the United Nation's sustainable development goals (SDGs) [3]. Yet, whether AI efforts are directed explicitly at social good and equity or not, there are many barriers that stand between aspirations to be responsible and the translation of these aspirations into concrete practicalities.

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解释人工智能实践差距的原则


随着人工智能（AI）渗透到社会和经济生活中，其伦理和治理影响已成为人们关注的焦点。围绕人工智能在劳动力转移、自动驾驶汽车、军事、错误信息、医疗保健、教育等方面的作用展开了激烈的争论。随着社会共同应对这些挑战，人工智能积极为社会公益 (AI4SG) 和公平 (AI4Eq) 做出贡献的新机会也被提出[1]、[2]，例如微软的 AI for Earth 计划。这些努力凸显了人工智能应对全球挑战并帮助实现联合国可持续发展目标（SDG）等目标的潜力[3]。然而，无论人工智能的努力是否明确针对社会公益和公平，在负责任的愿望与将这些愿望转化为具体实践之间都存在许多障碍。