IMPACTS AND TRANSFORMATIONS: CHALLENGES AND SOLUTIONS IN THE DETECTION OF TEXTS GENERATED BY ARTIFICIAL INTELLIGENCE by MARCUS PINTO
English | October 25, 2024 | ISBN: N/A | ASIN: B0DL1ZWJ17 | 56 pages | EPUB | 1.07 Mb
We live in an era of radical transformations, where artificial intelligence (AI) continuously redefines the limits of creativity and textual production. In the midst of this revolution, there is an imperative need to understand and manage the growing proliferation of machine-generated texts.
This book offers an in-depth analysis of the main challenges faced in detecting AI-produced text, exploring everything from the technical underpinnings to the ethical and social implications.
Among the most important topics covered are:
- Data modeling in the age of artificial intelligence and its relevance to text generation.
- The era of ambiguous authorship, where the distinction between human and AI-generated texts becomes increasingly complex.
- The historical evolution of AI in text generation, with emphasis on the advent of ChatGPT and its revolution in textual production.
- The ethical and social implications of using AI in content creation, including issues of originality and trust.
- The technical foundations of AI detection, covering principles of computational linguistic analysis and machine learning algorithms.
- A comparative analysis of the main AI detection tools available on the market, evaluating their characteristics, advantages, and limitations.
- The practical applications of these technologies in various sectors, such as the academic environment, journalism and digital marketing.
- A detailed case study on ChatGPT's impact on AI-generated text detection, illustrating the challenges and emerging strategies.
- Reflections on the future of coexistence between humans and generative AI, highlighting the need for an ethical and sustainable approach.
By reading this book, you will achieve transformative results, including:
- In-depth understanding of AI text generation and detection mechanisms.
- Practical tools to implement detection solutions in different professional contexts.
- Ability to critically evaluate available detection technologies and select the most appropriate ones for your needs.
- Knowledge about the ethical and social implications of the use of AI in textual production.
- Emerging strategies to address the challenges presented by advanced models like ChatGPT.
- Clear vision about the future of human-AI interaction in content creation.
This book is intended for a wide range of professionals seeking to position themselves at the forefront of information technology and ethics, including:
- Educators and academics concerned with the academic integrity and authenticity of the works.
- Journalists and media professionals who want to maintain the veracity and quality of their publications.
- Digital marketing experts looking to balance automation with brand authenticity.
- Developers and data scientists interested in the practical applications of AI.
- IT managers and leaders who need to integrate AI technologies into their operations.
- Students and artificial intelligence enthusiasts who want to deepen their knowledge.
This volume is part of a larger collection, "Artificial Intelligence: The Power of Data," which explores, in depth, different aspects of AI and data science. The other volumes address equally crucial topics, such as the integration of AI systems, predictive analytics, and the use of advanced algorithms for decision-making.
About the author
Prof. Marcão, with extensive experience in information technology and marketing, works as a business consultant, career mentor and content producer. Author of 150 books, he uses innovative methodologies for efficient projects, contributing to business and personal development.
Код:
Rapidgator
https://rg.to/file/7e6a431bc2c729a24d6614675e2ab6c1/h6w10.7z.html
TakeFile
https://takefile.link/wegsn7ft6deh/h6w10.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/ngi5qyhkwlg0/h6w10.7z
Fikper
https://fikper.com/pKiMvB2X7l/h6w10.7z.html
Links are Interchangeable - Single Extraction
