1、From compliance to confidenceEmbracing a new mindset to advance responsible AI maturityPage 03Executive summary:rethinking responsible AIPage 12Becoming reinvention ready:the milestones of responsible AI maturityPage 05 Risky business:the three challenges of the current risk landscapePage 15Responsi
2、bility reality check:how ready are companies for responsible AI?Page 10 From compliance to value:companies are acknowledging the impact of responsible AIPage 22Ready,set,grow:five priorities for responsible AIContentsResponsible AI:From compliance to confidence2Executive summary:rethinking responsib
3、le AIAs generative AI becomes pervasive in business and society,so too do the risks that come with using it.Consider the chatbot that gave incorrect advice to a customer,creating liability for the company that launched the chatbot.Or the employee who accidentally exposed proprietary company data aft
4、er using ChatGPT.Or the algorithm that wrongly flagged thousands of individuals for fraud.In this new environment,the responsible development and use of data and AI becomes a critical enabler for organizations to both minimize the risks that come with using these technologies and to unlock its many
5、benefitsfrom helping individuals perform tasks better and faster to allowing companies to reinvent themselves to create more value and gain a competitive edge through innovation.This is,of course,easier said than done,for the challenges of scaling responsible AI across an organization are daunting.A
6、I-related risks continue to accumulate as generative AI creates and accelerates both data and AI risks.New AI-focused laws and regulations are germinating everywhere.And AI value chains1 are growing in complexity,especially as more companies become both developers and buyers of AI models.Responsible
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