Work

Research Issues and Challenges in the Computational Development of Trustworthy AI

Year: 2024

Type: article

Abstract: The development and deployment of AI systemsnecessitate a steadfast commitment to reliability, safety,security, ethics, and social responsibility. This paper introduceskey research issues and challenges for trustworthy AI based onour experience working on several ongoing research projects atMälardalen University (MDU), Sweden, which considerspractical, real-world scenarios from the mobility,transportation, and healthcare domains. Our observationshave highlighted several critical technical components thatunderpin trustworthy AI. These components include fairness,safety, transparency, explainability, accountability, rigoroustesting, verification, and a human-centric approach to AI.Notably, these elements align closely with the current state-ofthe-art practices in the field.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13895825

Authors: Ahmed, Mobyen Uddin, Ahmed, Mobyen Uddin

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: European Commission

Awards: TRUSTWORTHY INTELLIGENT SYSTEM FOR REMOTE DIGITAL TOWER, TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS