UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Accountability in human and artificial decision-making as the basis for diversity and educational inclusion

Porayska-Pomsta, KK; Rajendran, G; (2019) Accountability in human and artificial decision-making as the basis for diversity and educational inclusion. In: Knox, J and Wang, Y and Gallagher, M, (eds.) Speculative Futures for Artificial Intelligence and Educational Inclusion. (pp. 39-59). Springer Nature: Singapore. Green open access

[thumbnail of Porayska-Pomsta_Accountability_Inclusion_AI-KPP_TS.pdf]
Preview
Text
Porayska-Pomsta_Accountability_Inclusion_AI-KPP_TS.pdf - Accepted Version

Download (1MB) | Preview

Abstract

Accountability is an important dimension of decision-making in Human and Artificial Intelligence (AI). We argue that it is of fundamental importance to inclusion, diversity and fairness of both the AI-based and human-controlled interactions and any human-facing interventions aiming to change human development, behaviour and learning. Less well debated, however, is the nature and the role of biases that emerge from theoretical or empirical models that underpin AI algorithms and the interventions driven by such algorithms. While, the biases emerging from the theoretical and empirical models also affect human-controlled educational systems and interventions (e.g. hindsight and unconscious biases), the key mitigating difference between AI and human decision-making is that human decisions involve individual flexibility, context-relevant judgements, empathy, as well as complex moral judgements, missing from AI. In this chapter, we argue that our fascination with AI, which pre-dates the current craze by centuries, resides in its ability to act as a ‘mirror’ reflecting our current understandings of human intelligence. Such understandings also inevitably encapsulate the biases emerging from our intellectual and empirical limitations. We make a case for the need for diversity to mitigate against biases becoming inbuilt into systems (in both Education and AI) and, with reference to specific examples of AI approaches and applications, we outline one compelling future for inclusive and accountable AI and Educational research and practice.

Type: Book chapter
Title: Accountability in human and artificial decision-making as the basis for diversity and educational inclusion
ISBN-13: 978-981-13-8160-7
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-981-13-8161-4
Publisher version: https://link.springer.com/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: https://discovery.ucl.ac.uk/id/eprint/10063081
Downloads since deposit
106Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item