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What everybody’s missing about AI in business. Ethan Mollick (Wharton Professor)
Beyond The Prompt - How to use AI in your company
Addressing Concerns and Misconceptions About AI in Business
Large language models possess biases that may not be suitable for critical decision-making. Concerns around AI regulation often paralyze large companies, hindering their adoption of AI technology. The fear of AI stealing intellectual property is a prominent worry, but it is not well-founded. AI does not inherently have access to all data it interacts with; rather, data security measures determine what AI can train on. AI operates similarly to other data systems, requiring trust in the company's security measures. Privacy concerns exist when using certain AI models, such as those from open AI, but these can be mitigated by activating built-in privacy features or compliant versions. Previous privacy concerns about AI have often been based on rumors rather than facts.
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