埃森哲(Accenture):2022年人工智能监管及就绪度调查报告-从AI合规到竞争优势(英文版)(21页).pdf

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埃森哲(Accenture):2022年人工智能监管及就绪度调查报告-从AI合规到竞争优势(英文版)(21页).pdf

1、From AI compliance to competitive advantageBecoming responsible by designAbout the research:We surveyed 850 C-suite executives across 17 geographies and 20 industries to understand their attitudes towards AI regulation and assess their readiness to embrace it.The following paper outlines our finding

2、s,paired with empirical learnings about how to best prepare for the regulation of AI.2Becoming responsible by designPart 1:It pays to be responsible by design Responsible by design Being responsible by design means that organizations understand the importance of incorporating Responsible AI into the

3、ir data and AI strategy from the start.They operate a responsible data and AI approach across the complete lifecycle of all of their models,enabling the organization to engender trust and scale AI with confidence.The rewards of responsibility 4Becoming responsible by designThere is clear incentive t

4、o accelerate AI transformation,but the increase in regulatory attention facing AI means that organizations need to proceed carefully.Being responsible by design can help them scale AI while better mitigating risks,meeting regulatory requirements,and creating sustainable value for themselves and thei

5、r stakeholders.In a recent report,The Art of AI Maturity,Accenture identified a small group(12%)of high-performing organizations which are using AI to create differentiated growth and outcomesi.These“AI Achievers”are already generating 50%more revenue growth versus their peers,and they outperform ot

6、her groups on customer experience(CX)and Environmental,Social and Governance(ESG)metricsii.In an effort to understand what these Achievers are doing right,we built an AI model to examine their behaviors and pinpoint their key performance indicators.Among other success factors that have a combinatori

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