发帖
雷达卡
领航未知领域：金融服务领域人工智能责任创新路线图
As previously explored by the Future of AI in Financial Services research at the World Economic Forum, artificial intelligence is fundamentally changing the physics of financial services. It will undoubtedly become a dominant force in the industry, opening the door to entirely new operating models and ushering in a new set of competitive dynamics.
正如之前在世界经济论坛（World Economic Forum）上对人工智能在金融服务研究中的未来所做的探索，人工智能正在从根本上改变金融服务的物理学。它无疑将成为行业的主导力量，为全新的运营模式打开大门，并迎来一系列新的竞争态势。
However, seeking to capture the ‘AI advantage’ has brought financial institutions, regulators and policy-makers to uncharted waters, exposing the financial system to new hazards and posing uncertainties to AI adoption. Navigating these waters safely is critical to unlocking the promise of AI to build a better financial ecosystem for all.
然而，为了抓住“人工智能优势”，金融机构、监管机构和政策制定者陷入了未知的境地，使金融体系面临新的危险，并给人工智能的采用带来了不确定性。在这些水域安全航行对于实现人工智能为所有人建立更好的金融生态系统的承诺至关重要。
This report explores the five key areas of concern raised over hundreds of research interviews with financial services leaders and regulators conducted over the past two years. Specifically:
这份报告探讨了过去两年对金融服务业领导人和监管机构进行的数百次研究采访中提出的五个关键关注领域。明确地：
Explainability: How does business context shape what we need to know about our AI, and how AI systems make their decisions?
可解释性：业务环境如何影响我们对人工智能的了解，以及人工智能系统如何做出决策？
Systemic risk: Could algorithms destabilize the financial system by introducing new dynamics to how markets and their component actors (i.e., humans and machines) interact?
系统性风险：算法是否会通过引入新的动态来影响市场及其组成角色（即人和机器）的互动，从而破坏金融系统的稳定？
Bias and fairness: How can institutions work to ensure their systems do not discriminate against a specific group?
偏见与公平：机构如何确保其系统不歧视特定群体？
Fiduciary duty: Can AI systems plausibly fulfill the fiduciary responsibilities of advisors to always act in the best interest of their clients?
受托责任：人工智能系统能否合理地履行顾问的受托责任，使其始终以客户的最佳利益行事？
Algorithmic collusion: Can AI systems autonomously learn to engage in anti-competitive behaviour, and how can this risk be mitigated?
算法合谋：人工智能系统能否自主地学习从事反竞争行为，如何降低这种风险？
The report outlines responses to these questions, exploring the root causes that drive each concern, and how they can be addressed through new governance and oversight frameworks. Ultimately, the report seeks to map out how the financial system can reap the benefits of AI while effectively navigating the risks it introduces, leading to improved outcomes for customers, regulators, institutions, and societies at large.
报告概述了对这些问题的回应，探讨了推动每一个问题的根源，以及如何通过新的治理和监督框架来解决这些问题。最终，该报告试图找出金融体系如何在有效应对人工智能带来的风险的同时，从中获益，从而为客户、监管机构、机构和整个社会带来更好的结果。
gx-fsi-navigating-uncharted-waters-deloitte-exec-summary.pdf
(1.05 MB, 需要: 5 个论坛币)
WEF_Navigating_Uncharted_Waters_Report.pdf
(26.07 MB, 需要: 25 个论坛币)
京公网安备 11010802022788号
