Safe Secure Ethical Responsible Technologies And Emerging Applications


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Safe, Secure, Ethical, Responsible Technologies and Emerging Applications


Safe, Secure, Ethical, Responsible Technologies and Emerging Applications

Author: Franklin Tchakounte

language: en

Publisher: Springer Nature

Release Date: 2024-04-17


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This book constitutes the refereed proceedings of the First EAI International Conference on Safe, Secure, Ethical, Responsible Technologies and Emerging Applications, SAFER-TEA 2023, held in Yaoundé, Cameroon, during October 25-27, 2023. The 24 full papers were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: Regulations and Ethics of Artificial Intelligence, Resource-constrained Networks and Cybersecurity, Emerging Artificial Intelligence Applications, Reviews.

Advances in Explainability, Agents, and Large Language Models


Advances in Explainability, Agents, and Large Language Models

Author: Yazan Mualla

language: en

Publisher: Springer Nature

Release Date: 2025-04-24


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This book constitutes the refereed proceedings of the First International Workshop on Advances in explainability, agents, and large language models, CALM 2024, held in Kyoto, Japan, during November 18–19, 2024. The 7 full papers and 1 short paper presented in this book were carefully reviewed and selected from 17 submissions. The Workshop on Causality, Agents, and Large Models (CALM) was established to foster interdisciplinary collaboration and advance research at the intersection of causal reasoning, multi-agent systems (MAS), and large language models (LLMs).

A Compendium of Responsible Artificial Intelligence


A Compendium of Responsible Artificial Intelligence

Author: Deepak Kumar Jain

language: en

Publisher: CRC Press

Release Date: 2025-07-15


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Taking a broad, multidisciplinary approach to the ethical, legal, and practical dimensions of developing AI, the book puts key issues such as bias, transparency, accountability, and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. This book can be read as a resource for those who want to be able to guide the development and deployment of responsibly controlled AI systems.