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英国上议院呼吁加强AI技术道德化规范

如今,人工智能技术在很多领域都得到了应用,尤其是金融服务行业。

比如,银行开始加大人工智能和数据分析应用,希望从根本上改善客户服务、提升工作效率、改变风险管理和法规遵从。

但是,这项技术还是不可避免地引发了一系列道德上的考虑。本月早些时候,新加坡就汇聚了不少行业参与者,希望为人工智能技术在金融服务行业的“负责任和合乎道德”使用设立基本指南。

而在一份最新报告中,英国上议院特别委员会也指出:英国的人工智能技术发展速度可观,很有可能成为该领域将来的领军国家。为了更好地发挥人工智能技术促进经济发展的潜力,应该通过“负责任的、道德的”方式使用这项技术。为此,英国上议院处提出了五项基本原则建议,希望其可以在英国国内外同时得到落实。这五项原则包括:

  1. 人工智能应该为人类的共同利益而开发。
  2. 人工智能应该遵循可理解性和公平原则。
  3. 不应该用人工智能来减少个人、家庭或社区的数据权利或隐私。
  4. 所有公民都应该有权接受教育,使他们能够在精神上、情感上和经济上与人工智能一起发展。
  5. 人工智能不应获得伤害、摧毁或欺骗人类的权利。

该报告还指出,政府应该加大技能和培训投资,以减轻人工智能对失业的影响,并让人们更好地控制他们的数据,防止大型科技公司垄断数据。

As the use of artificial intelligence (AI) in a host of industries, not least the financial services sector, gains traction, the House of Lords has called for the UK to lead the way in the ethical development and deployment of the technology.

Banks are increasingly turning to AI and data analytics in the hope of radically improving customer service, efficiency, risk management and regulatory compliance.

But the technology raises a host of ethical considerations; earlier this month Singapore brought together industry players to work on guidelines for its "responsible and ethical" use in the financial services sector.

In a new report, the House of Lords Select Committee on AI concludes that the UK is in a strong position to become a world leader in the area, providing a major boost to the economy. The report outlines five key principles that should form the basis of a cross-sector code, which can be adopted nationally and internationally:

  1. AI should be developed for the common good and benefit of humanity.
  2. AI should operate on principles of intelligibility and fairness.
  3. AI should not be used to diminish the data rights or privacy of individuals, families or communities.
  4. All citizens should have the right to be educated to enable them to flourish mentally, emotionally and economically alongside AI.
  5. The autonomous power to hurt, destroy or deceive human beings should never be vested in AI.

The report also says that government should make significant investments in skills and training to mitigate the effect of AI on job losses as well as give people greater control over their data and prevent big tech firms monopolising data.


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