Thank you for visiting Why is it important to combine responsible AI with generative AI A Generative AI tracks regulations more closely B Generative AI requires a new infrastructure. This page is designed to guide you through key points and clear explanations related to the topic at hand. We aim to make your learning experience smooth, insightful, and informative. Dive in and discover the answers you're looking for!
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Answer:
Explanation:
A. Generative AI tracks regulations more closely.: This is not typically true. Generative AI does not inherently track regulations but may need to comply with them.B. Generative AI requires a new infrastructure.: While new infrastructure might be needed for some applications, this does not directly address the importance of combining responsible practices with generative AI.C. Generative AI brings new areas of risk.: This is a critical point. Generative AI can create content that could be misleading or harmful, such as deepfakes or misinformation. Responsible AI practices help mitigate these risks.D. Generative AI needs to store more data.: Although data storage is relevant, it doesn’t directly relate to the importance of responsibility in AI.E. I don't know this yet.: It’s okay not to know, but understanding the implications of generative AI is vital.
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Rewritten by : Jeany
Final answer:
It is crucial to combine responsible and generative AI to ensure ethical guidelines are followed, particularly in high-stakes domains like healthcare, and to address risks associated with intellectual property rights and the proliferation of fake content. This combination requires a comprehensive approach, including new infrastructures and strict regulation adherence.
Explanation:
The question of why it's important to combine responsible AI with generative AI encompasses several aspects that go beyond the simple tracking of regulations or the need for new infrastructure. In the domain of AI in healthcare, ethical AI guidelines are crucial to navigate the innovative potentials and risks associated with AI applications. From the articles reviewed, it is apparent that generative AI brings to the forefront challenges related to intellectual property, political campaigning, and the ethical use of algorithms. Generative AI brings new areas of risk, particularly in creating content that could be indistinguishable from human-generated content, propagating fake news through deepfakes, and the use and misuse of algorithms without sufficient oversight.
Furthermore, the development of new infrastructure as advocated by Cathy O'Neil for the ethical and responsible use of AI algorithms signifies the need for a comprehensive approach to manage these technologies. This approach entails not only tracking and adhering to regulations but also foreseeing potential risks and ensuring the AI applications, especially in sensitive areas like healthcare and public safety, are underpinned by robust ethical guidelines. Considering these facets, it becomes clear that combining responsible and generative AI is pivotal to harness their benefits while mitigating the associated risks.
