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Answer :
-a) True. One of the risks with generative AI is that it can introduce data privacy challenges due to stakeholders sharing sensitive data outside the organization firewall.
Generative AI refers to artificial intelligence systems, like ChatGPT and DALL-E, that can generate new content including text, images, or videos. While these technologies offer significant benefits, such as automating content creation and providing advanced assistance, they also pose several risks.
Key Points to Consider:
Data Privacy Challenges: When using generative AI, sensitive information might be shared outside the organization's firewall. This could expose confidential data, making it vulnerable to unauthorized access.
Ethical and Security Concerns: As generative AI systems learn from vast amounts of data, including potentially sensitive or private data, the misuse of this data can lead to data privacy breaches and ethical issues.
Algorithm Bias and Misinformation: Generative AI can produce outputs that seem highly convincing but might be incorrect or biased. This can become problematic when sensitive data is involved, as it could result in misinformation or biased decisions.
Regulatory Landscape: There are ongoing discussions and developments in terms of regulating the use of AI to ensure ethical practices and data security. However, these regulations are still evolving.
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