Atjaunināt sīkdatņu piekrišanu

E-grāmata: Regulating Hate Speech Created by Generative AI

Edited by (Harrisburg University of Science and Technology, Pennsylvania, USA)
  • Formāts: 190 pages
  • Izdošanas datums: 02-Aug-2024
  • Izdevniecība: Auerbach
  • Valoda: eng
  • ISBN-13: 9781040130247
Citas grāmatas par šo tēmu:
  • Formāts - EPUB+DRM
  • Cena: 60,10 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
Regulating Hate Speech Created by Generative AIPalielināt

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This book examines ways to regulate generative AI to reduce online hate and secure justice in a digital environment. Featuring research and offering practical guidelines, the book presents tangible guidelines for regulating generative AI models so they do not contribute to online hate disinformation and imagery.



Regulating Hate Speech Created by Generative AI explores the new hybrid space of Human Machine Interaction (HMI) in which hate speech is represented and computed through algorithms and AI generative systems. The book is exploratory because there are still many problem-solving challenges to be faced. It is also innovative because it is not assuming that solutions lie only in technological advancements but on a broader scale. In this sense, large language models can and are being considered from a holistic view (i.e., from the different dimensions and layers of regulatory and legal governance). Highlights of the book include:

  • Generative AI and social engines of hate
  • An introduction to generative Artificial Intelligence application, trends, and ethics
  • The mechanics and validation of generative AI outcomes
  • An evaluation of Generative AI for hate speech detection
  • Best practices and key considerations for AI regulation
  • Using GenAI capabilities for early detection of threats in the digital environment.

This book is a hard look at ways to regulate generative AI to reduce online hate and secure justice in a digital environment. Featuring research and offering practical guidelines, the book examines guidelines for regulating generative AI models, so they do not contribute to online hate disinformation and imagery.

1. Generative AI and Social Engines of Hate
2. Generative Artificial Intelligence: Introduction, Application, Trends, and Ethics
3. The Mechanics and Validation of Generative AI Outcomes
4. Generative AI for Hate Speech Detection: Evaluation and Findings
5. Best Practices and Key Considerations for Artificial Intelligence Regulation
6. The Use of Generative Artificial Intelligence (GenAI) Capabilities for Early Detection of Threats in the Digital Environment: The Good Side of GenAI
7. Unwanted Psychological Diagnoses: Discriminative Dangers of Generative AI
8. The Changing Landscape of the World Influenced by the Impact of Technology Driven by Artificial Intelligence
9. Stochastic Parroting: Leaders Versus the Artificial Intelligence Echo Chamber
10. Minimizing Hate Speech in Academic Environments with Artificial Intelligence Techniques

Dr. Jay Liebowitz is the Professor of Business Innovation and Industry Transformation and Director of a new AI-EDGE Center in the Crummer Graduate School of Business at Rollins College in Winter Park, Florida. He has recently served as the inaugural Executive-in-Residence for Public Service at Columbia Universitys Data Science Institute. He was previously a Visiting Professor in the Stillman School of Business and the MS-Business Analytics Capstone & Co-Program Director (External Relations) at Seton Hall University. De Liebowitz previously served as the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. Before HU, he was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as a Full Professor in the Carey Business School at Johns Hopkins University.
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
Permanent link: https://www.kriso.lv/db/97810401302476e.html