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2020算法的道德:算法对人工智能系统道德的贡献 - 恩智浦(英文版)(14页).pdf

上传人: N** 编号:21891 2020-11-01 14页 21.17MB

1、THE MORALS OF ALGORITHMS A contribution to the ethics of AI systems 2 When discussing artificial intelligence (AI) with researchers and scientists, one can easily pick up on their enthusiastic optimism about the tremendous potential that AI-based applications carry for the whole of humankind. This i

2、ncludes machine learning, a subset of AI, which uses computer algorithms to automatically learn and improve from environmental data without being explicitly programmed. From detecting COVID-19 in x-ray and CT scans, to diagnosing skin or breast cancer far more reliably than any human physician could

3、, preventing road fatalities, detecting illegal rainforest logging or fighting wildlife poaching: Machine-trained AI systems provide the means to tackle some of the worlds most challenging health crises, social problems and environmental issues, potentially helping hundreds of millions of people in

4、advanced, developing and emerging countries. At the same time, there is increasing concern over potential threats that AI-powered systems pose. Not every new AI application is suitable to instill trust in peoples hearts and minds. From racist chatbots, to discriminating algorithms or sexist recruitm

5、ent tools, there are regular reports about instances of AI gone wrong. Rapidly advancing forms of artificial intelligence can prevent accidents and improve transportation, health care and scientific research. Or, they can violate human rights by enabling mass surveillance, driving cyber attacks and

6、spreading false news. INTRODUCTORY REMARKS 1 TEACHING MORALS TO MACHINES: THE BASICS The fundamental ethical dilemma surrounding the questions of how to teach AI values and how to ensure our ethical preferences can be embedded in code will accompany us for quite some time. Casting ethical values int

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本文主要讨论了人工智能(AI)系统的伦理问题。文章首先指出,AI系统在医疗、交通、环境等领域具有巨大潜力,但同时也存在潜在威胁,如歧视、侵犯人权等。接着,文章介绍了欧盟和美国在AI伦理方面的政策,强调了以人为中心的原则。然后,文章讨论了私营部门在制定AI伦理原则方面的努力,如IBM、谷歌、微软等公司发布的AI伦理原则。文章还提到了NXP公司的AI原则,包括非伤害原则、尊重人类自主权原则、可解释性原则等。最后,文章讨论了AI系统的安全问题,包括加密通信、数据保护、防止恶意攻击等,并强调了安全设计和隐私设计的重要性。
人工智能的伦理困境是什么? 如何确保人工智能系统符合伦理标准? 人工智能如何保护用户隐私和数据安全?
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