位置3的问题 According to Mariam Alavi and George Westerman, which of the following is a way that generative AI could be used to enhance work?According to Mariam Alavi and George Westerman, which of the following is a way that generative AI could be used to enhance work?Generative AI helps firms synthesize large amounts of information, pulling out relevant points and examples, providing background research, and generating summaries.According to current laws, generative AI cannot be held liable for any copyright infringement, which can allow businesses to greatly increase their creative output without fear of lawsuits.Image generation AI will be able to replace entire graphic design departments, freeing up capital for IT departments.Executives can now be freed up to hand over all critical business functions to generative AI.As firms are forced to deal with concerns over privacy and other ethical dilemmas, generative AI can be used to make moral and ethical decisions.

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BlackTom AI · Accepted Answer

Re-stating the prompt and options to orient the analysis: the question asks which statement reflects a way that generative AI could be used to enhance work, according to Mariam Alavi and George Westerman. The answer options are:

1) Generative AI helps firms synthesize large amounts of information, pulling out relevant points and examples, providing background research, and generating summaries.
2) According to current laws, generative AI cannot be held liable for any copyright infringement, which can allow businesses to greatly increase their creative output without fear of lawsuits.
3) Image generation AI will be able to replace entire graphic design departments, freeing up capital for IT departments.
4) Executives can now be freed up to hand over all critical business functions to generative AI.
5) As firms are forced to deal with concerns over privacy and other ethical dilemmas, generative AI can be used to make moral and ethical decisions.

Option 1: This statement describes a concrete, practical, and widely discussed use case for generative AI in business settings: information synthesis, extraction of key points, background research, and generation of summaries. It aligns with scholarly and industry perspectives that emphasize efficiency in processing large data sets and producing digestible outputs for decision-makers. The emphasis on summarization and extraction of relevant points is characteristic of current AI-assisted research and knowledge-work workflows.

Option 2: This claims a blanket exemption from liability for copyright infringement. In reality, liability regimes are nuanced and evolving; many jurisdictions maintain potential liability for authors, platforms, or adopters when AI-generated outputs infringe copyrights. The notion that AI cannot be held liable at all is not accurate and overstates legal protections, making this option incorrect.

Option 3: The idea that image-generation AI will replace entire graphic design departments suggests a dramatic and unlikely outcome in the near term. While automation can augment design work, human designers contribute creativity, brand strategy, and nuanced aesthetics that are not fully substitutable by current AI. This overstatement makes the option dubious.

Option 4: The claim that executives can be freed up to hand over all critical business functions to generative AI implies a complete outsourcing of core responsibilities to AI, which disregards governance, risk management, strategic oversight, and accountability requirements. It ignores the need for human judgment, ethics, and organizational controls, rendering it implausible.

Option 5: Asserting that AI can be used to make moral and ethical decisions presumes AI systems possess or emulate strong normative judgment in complex, context-rich situations. In practice, ethical decision-making involves value-driven trade-offs, governance, and human oversight; AI can assist but not unilaterally replace human ethics. This oversimplifies the domain of ethics.

In summary, option 1 presents a realistic, well-supported use case of generative AI for work enhancement, while options 2 through 5 rest on statements that conflict with legal realities, practical limits, or necessary human governance. The evaluation hinges on understanding practical applications, legal nuance, organizational constraints, and the role of human oversight in ethical decision-making.

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