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Generative AI and Cyberbullying

By: Ravindra Das (Author)

Manufacture on Demand

Ksh 27,850.00

Format: Hardback or Cased Book

ISBN-10: 1032666005

ISBN-13: 9781032666006

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 13th, 2024

Publication Status: Active

Product extent: 112 Pages

Weight: 453.00 grams

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  • Description

  • Reviews

In this particular book, we actually take the good side of Gen AI, provide an overview as to how it can be used to help combat Cyberbullying.

Ever since the COVID-19 pandemic occurred in 2020, the world has transformed itself greatly. For example, not only is the near-99% remote workforce now a reality, but businesses today are taking incident response and disaster recovery much more seriously these days as well. But another area that has blossomed in the last couple of years has been that of Generative AI. It is actually a subfield of artificial intelligence, which has been around since the 1950s.

But Gen AI (as it is also called) has been fueled by the technology of ChatGPT, which has been developed and created by OpenAI. Given the GPT4 algorithms Gen AI is powered by, an end user can merely type in, or even speak into the platform a query, and an output that is specific to that query will be automatically generated. The answer (or "output") can be given as a text, video, image, or even an audio file.

The scalability and diversity of Gen AI has allowed it to be used in a myriad of industries and applications. But although it has been primarily designed to serve the greater good, it can also be used for very nefarious purposes, such as online harassment and Cyberbullying.

In this particular book, we actually take the good side of Gen AI and provide an overview as to how it can be used to help combat Cyberbullying. This book is broken down into the following topics:

  • What Cyberbullying is all about
  • How Gen AI can be used to combat Cyberbullying
  • An overview into Gen AI
  • Advanced topics into Gen AI
  • Conclusions

 


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