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What are the key challenges when applying generative AI to an innovative idea for achieving strategic benefits for an organization?

Answer :

Final answer:

Challenges in applying generative AI to an innovative idea for strategic benefits include the threat of cybercrime, privacy issues, misuse of data, legal transparency and corporate responsibility. It's critical to use AI safely, sustainably and responsibly and address these issues to ensure the responsible use of AI in organizations.

Explanation:

When applying generative AI to an innovative idea for achieving strategic benefits for an organization, several key challenges must be addressed. Some of the foremost among these challenges include the threat of cybercrime and cyberwarfare, as well as matters pertaining to individual privacy and potential misuse of data. As pointed out in a Pew Research Center survey, these issues may contribute to a deeper problem defined by philosopher Nick Bostrom as a mismatch between human cooperation and technological capabilities in causing significant changes in the world.

To address these concerns, it is essential to use AI "safely, sustainably, and responsibly," as advocated by Genevieve Bell in her TED Talk. Bell argues for human-scale technology in which technology, culture, and environment interact synergistically. Furthermore, total transparency is often called for in legal matters regarding AI, but achieving such transparency can be both difficult and costly.

In essence, these larger issues and the more practical matters of corporate responsibility present potential dangers for the application of generative AI in organizations. Consequently, guidance codes of ethics and transparency in legal contexts are required to ensure the responsible use of AI. The impact of AI, beneficial or detrimental, depends largely on how these challenges are managed.

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