Assessing the risks of generative AI in the workplace:

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Generative AI is growing rapidly, and it's essential to assess its legal, ethical, and security implications at the workplace.
Experts are concerned about the lack of transparency in the data used to train many generative AI models.

For example, models like GPT-4, which powers ChatGPT, have unclear information about their training data and how they store user interactions. This creates legal and compliance risks.

CALL TO ACTION: What are the potential risks of artificial intelligence in education?

A significant worry is the potential for sensitive company data or code to be leaked through interactions with generative AI.

There is no solid evidence that data submitted to ChatGPT or similar systems is shared, but the risk exists due to security gaps in new and less tested software.

OpenAI, the organization behind ChatGPT, hasn't provided enough details about how user data is handled, making it challenging for organizations to protect against code leaks. Constant monitoring and alerts for generative AI usage can be burdensome.

Another risk is the use of wrong or outdated information, especially for junior specialists who might struggle to assess the AI's output quality. Generative models often function on limited datasets that need regular updating.

These models have a limited context window and may struggle with new information. GPT-4 still has factual inaccuracies, leading to potential misinformation spread.

The implications of generative AI go beyond individual companies. For instance, Stack Overflow, a popular developer community, temporarily banned the use of ChatGPT-generated content due to its low precision rates, which could mislead users seeking coding answers.

There are legal risks associated with using free generative AI solutions. GitHub's Copilot faced accusations and lawsuits for incorporating copyrighted code from public repositories.

Using AI-generated code that contains proprietary information or trade secrets may lead to liability for infringement of third-party rights and affect a company's evaluation by investors.

While complete workplace surveillance isn't practical, individual awareness and responsibility are crucial. Educating the public about the risks of generative AI solutions is essential.

Industry leaders, organizations, and individuals must work together to address data privacy, accuracy, and legal risks related to generative AI in the workplace.

First full news published at Artificialintelligence-news. To read click here.


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