Generative AI and Implications for Ethics, Security, and Data Management


Price: $365.00
(as of Dec 17,2024 22:50:50 UTC – Details)




ASIN ‏ : ‎ B0DFN1N722
Publisher ‏ : ‎ IGI Global (August 21, 2024)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 476 pages
ISBN-13 ‏ : ‎ 979-8369385579
Item Weight ‏ : ‎ 2.29 pounds
Dimensions ‏ : ‎ 7 x 1.06 x 10 inches


Generative AI, also known as artificial intelligence that has the ability to create original content, has been making waves in various industries. From generating realistic images and videos to composing music and writing articles, generative AI has the potential to revolutionize the way we create and consume content.

However, with great power comes great responsibility. The implications of generative AI for ethics, security, and data management are vast and complex.

Ethically, there are concerns about the potential misuse of generative AI, such as deepfakes, which can be used to create fake videos or photos of individuals saying or doing things they never did. This raises questions about consent, privacy, and the spread of misinformation. How can we ensure that generative AI is used responsibly and ethically?

In terms of security, generative AI poses a risk of creating sophisticated cyber attacks, such as creating convincing phishing emails or generating fake identities for fraudulent activities. How can we protect ourselves from these threats and ensure the security of our data?

Data management is another crucial aspect to consider when it comes to generative AI. The technology requires vast amounts of data to train models, which raises concerns about data privacy, ownership, and bias. How can we ensure that the data used to train generative AI models is collected and handled ethically?

As we continue to explore the capabilities of generative AI, it is important to consider these ethical, security, and data management implications. By addressing these concerns proactively, we can harness the power of generative AI for positive and transformative purposes while minimizing the risks and pitfalls associated with its use.
#Generative #Implications #Ethics #Security #Data #Management

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