Human-AI Centricity and Data: Legitimacy Challenges

Oxana Gisca*, Julia Helena Zhang , Petri Ahokangas, Timo Koivumäki , Martti Ahtisaari , Romeo V. Turcan

*Corresponding author for this work

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearchpeer-review

Abstract

Human AI Centricity and data unveil an array of legitimacy challenges.With a multitude of data formats, such challenges may be difficult to depict and manage effectively. To address the issue, this article proposes a typology for data (Me Data, My Data, Our Data, Proprietary Data) around AI-Centric and Human-Centric dimensions. The proposed framework serves as a novel tool for framing the legitimacy challenges of human AI Centricity and data. Findings indicate a need of a proper regulatory approach in order to achieve the goal of removing barriers to the free flow of personal data within the European Union. The legitimacy challenges of data and Human Ai Centricity and its vulnerabilities must be identified, assessed, and mitigated appropriately. This will facilitate the implementation of the new data and AI regulatory provisions, the development of explicit cooperation mechanisms, the transcendence of technological boundaries, and the development of transparent relationships based on European values.
Original languageEnglish
Publication dateJun 2023
Publication statusPublished - Jun 2023
EventLegitimation of Newness and EU Agenda for Change Conference - Aalborg University Business School, Copenhagen, Denmark
Duration: 22 Jun 202323 Jun 2023
https://www.tbrp.aau.dk/lnetn/network-training/conference/

Conference

ConferenceLegitimation of Newness and EU Agenda for Change Conference
LocationAalborg University Business School
Country/TerritoryDenmark
CityCopenhagen
Period22/06/202323/06/2023
Internet address

Keywords

  • Input - output
  • Legitimacy
  • Human centricity
  • Artificial Intelligence

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