short-paper

Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond

Authors:

Antonio J. Jara,

Leandro MarinAuthors Info & Claims

CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Pages 5296 - 5299

https://doi.org/10.1145/3583780.3615300

Published: 21 October 2023 Publication History

Abstract

The management of knowledge-driven artificial intelligence technologies is essential in order to evaluate their impact on human life and society. Social networks and tech use can have a negative impact on us physically, emotionally, socially and mentally. On the other hand, intelligent systems can have a positive effect on people's lives. Currently, we are witnessing the power of large language models (LLMs) like chatGPT and its influence towards the society. The objective of the workshop is to contribute to the advancement of intelligent technologies designed to address the human condition. This could include precise and personalized medicine, better care for elderly people, reducing private data leaks, using AI to manage resources better, using AI to predict risks, augmenting human capabilities, and more. The workshop's objective is to present research findings and perspectives that demonstrate how knowledge-enabled technologies and applications improve human well-being. This workshop indeed focuses on the impacts at different granularity levels made by Artificial Intelligence (AI) research on the micro granular level, where the daily or regular functioning of human life is affected, and also the macro granulate level, where the long-term or far-future effects of artificial intelligence on people's lives and the human society could be pretty high. In conclusion, this workshop explores how AI research can potentially address the most pressing challenges facing modern societies, and how knowledge management can potentially contribute to these solutions.

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Cited By

Kovari A(2025)Explainable AI Chatbots Towards XAI ChatGPT: A ReviewHeliyon10.1016/j.heliyon.2025.e42077(e42077)Online publication date: Jan-2025
https://doi.org/10.1016/j.heliyon.2025.e42077
McIntosh TSusnjak TLiu TWatters PXu DLiu DNowrozy RHalgamuge M(2024)From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language modelsComputers & Security10.1016/j.cose.2024.103964144(103964)Online publication date: Sep-2024
https://doi.org/10.1016/j.cose.2024.103964

Index Terms

Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond

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cover image ACM Conferences

CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

October 2023

5508 pages

ISBN:9798400701245

DOI:10.1145/3583780

General Chairs:
Ingo Frommholz
University of Wolverhampton, UK
,
Frank Hopfgartner
University of Koblenz, Germany
,
Mark Lee
University of Birmingham, UK
,
Michael Oakes
University of Birmingham, UK
,
Program Chairs:
Mounia Lalmas
Spotify, UK
,
Min Zhang
Tsinghua University, China
,
Rodrygo Santos
Federal University of Minas Gerais, Brazil

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Published: 21 October 2023

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October 21 - 25, 2023

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Cited By

Kovari A(2025)Explainable AI Chatbots Towards XAI ChatGPT: A ReviewHeliyon10.1016/j.heliyon.2025.e42077(e42077)Online publication date: Jan-2025
https://doi.org/10.1016/j.heliyon.2025.e42077
McIntosh TSusnjak TLiu TWatters PXu DLiu DNowrozy RHalgamuge M(2024)From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language modelsComputers & Security10.1016/j.cose.2024.103964144(103964)Online publication date: Sep-2024
https://doi.org/10.1016/j.cose.2024.103964

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