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普华永道:2023生成人工智能风险管理指南-从治理开始(中译版)(25页).pdf

上传人: Y**** 编号:142567 2023-10-12 25页 4.32MB

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1、Managingthe risks ofgenerative AIMay 2023A playbook for risk executives beginning with governanceTable of contents Introduction 2Whats at stake for business?4The new and amplified risks to manage 6For the chief information security officer 8For the chief data officer and chief privacy officer 10For

2、the chief compliance officer 12For the chief legal officer and general counsel 14For internal audit leaders 16For the chief financial officer and controller 18How to get started 20 Bringing it all together 21Bottom line 23Introduction Something truly revolutionary happened in November 2022.Suddenly,

3、anyone with an internet connection,armed only with the ability to hold a conversation in a chat app,could wield the transformative power of artificial intelligence(AI).Within a single week,more than a million users,with ChatGPTs help,produced short-form articles,wrote computer code,made art and summ

4、arized long sources into pieces perhaps better and more concise than the originals.Meanwhile,malicious threat actors test-drove ChatGPT to write malware,more believable phishing emails and more convincing fake identities,rapidly and for widespread dissemination potential harbingers of large-scale fr

5、aud,privacy violations,disinformation and cyber attacks.Mere months after the debut of ChatGPT,generative AI continues to become ever more deeply intertwined into our lives and businesses.Weve seen the fastest ramp-up in active consumer users ever.Weve seen a leap in capabilities from OpenAIs GPT3 t

6、o GPT4 achievements recorded in coding and mid-level professional writing.In quick succession,tech companies have launched/re-launched competing products;start-ups have released models for bespoke applications;and companies,including PwC,have announced massive investments to create their own“Company

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本文主要讨论了生成性人工智能(AI)的风险管理,并针对不同高管角色提供了风险管理策略。文章指出,生成性AI的快速发展给企业带来了新的风险,包括数据风险、模型和偏见风险、提示或输入风险以及用户风险。文章强调,风险管理者需要从企业治理、数据保护、合规性、法律义务和知识产权等多个方面进行风险管理。文章还指出,尽管生成性AI带来了许多风险,但同时也为企业提供了巨大的机遇,如提高员工生产力、改善客户服务、自动化高量任务等。因此,企业需要采取有效的风险管理措施,以确保生成性AI的安全、可靠和韧性,从而充分利用其带来的机遇。
如何在企业中管理生成式AI的风险? 生成式AI如何影响数据安全和隐私? 生成式AI在法律和合规方面有哪些风险?
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