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  "documentTitle": "2023 A New Era of Generative AI for Everyone",
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  "notes": "The slide uses a list-based framework to categorize AI risks into five key areas: IP, Data Privacy, Discrimination, Product Liability, and Trust/Identity.",
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      "text": "Intellectual property: How will the business protect its own IP? And how will it prevent the inadvertent breach of third-party copyright in using pre-trained foundation models?",
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      "text": "Figure 2: Key risk and regulatory questions for generative AI",
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      "text": "AI systems need to be “raised” with a diverse and inclusive set of inputs so that they reflect the broader business and societal norms of responsibility, fairness and transparency. When AI is designed and put into practice within an ethical framework, it accelerates the potential for responsible collaborative intelligence, where human ingenuity converges with intelligent technology.",
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      "text": "It's critical that generative AI technologies, including ChatGPT, are responsible and compliant by design, and that models and applications do not create unacceptable risk for the business. Accenture was a pioneer in the responsible use of technology including the responsible use of AI in its Code of Business Ethics from 2017. Responsible AI is the practice of designing, building and deploying AI in accordance with clear principles to empower businesses, respect people, and benefit society — allowing companies to engender trust in AI and to scale AI with confidence.",
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      "text": "Companies will have thousands of ways to apply generative AI and foundation models to maximize efficiency and drive competitive advantage. Understandably, they'll want to get started as soon as possible. But an enterprise-wide strategy needs to account for all the variants of AI and associated technologies they intend to use, not only generative AI and large language models.",
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