Requirements Engineering for Accountable and Conscious Human-centered AI: Preface

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The concept of responsible human-centered AI refers to the ethical, accountable, and conscious development, deployment, and operation of AI systems. It is dedicated to ensuring that AI systems align with societal and environmental values, legal norms, and regulations while providing transparency, fairness, privacy, and accountability of the solutions. Responsible human-centered AI encompasses a broad range of socio-technical and sustainability concerns, including biases in AI models, data privacy and security, and explainability of AI decisions, along with robust mechanisms for auditing and monitoring systems' post-deployment to address unintended consequences or evolving risks. The goal of the First International Workshop on Requirements Engineering for Accountable and Conscious Human-centered AI (REACH-AI 2025) is to create a platform for an interdisciplinary discourse of researchers and practitioners on this important aspect of the AI impacts on society.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE 33rd International Requirements Engineering Conference Workshops, REW 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages402-404
Number of pages3
ISBN (Electronic)9798331538347
DOIs
StatePublished - 2025
Event33rd IEEE International Requirements Engineering Conference Workshops, REW 2025 - Valencia, Spain
Duration: 1 Sep 20255 Sep 2025

Publication series

NameProceedings - 2025 IEEE 33rd International Requirements Engineering Conference Workshops, REW 2025

Conference

Conference33rd IEEE International Requirements Engineering Conference Workshops, REW 2025
Country/TerritorySpain
CityValencia
Period1/09/255/09/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • AI ethics
  • human-centered AI
  • requirements engineering
  • responsible AI

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

Fingerprint

Dive into the research topics of 'Requirements Engineering for Accountable and Conscious Human-centered AI: Preface'. Together they form a unique fingerprint.

Cite this