Regulation on Artificial Intelligence Deployment
Keywords:
Artificial Intelligence, regulation, risk assessment, technology assessmentAbstract
Concerns on artificial intelligence are neither technical nor impedimental to technological progress. It is about assessing and monitoring for what and when would be appropriate to regulate with desirable advancement. Especially, nobody would accept systemic bias to exist in any AI system. Without proper risk management, the bias would become a major problem unintentionally. It is therefore an increasing awareness and movement at moment to introduce AI regulations around the world which include general regulation and sector-specific regulation.
References
‘AI Risk Management Framework’ (NIST 2023) NIST AI 100-1 <https://www.nist.gov/itl/ai-risk-management-framework> สืบค้นเมื่อ 9 กรกฎาคม 2566.
Anne De Piante Henriksen, ‘A Technology Assessment Primer for Management of Technology’ (1997) 13 International Journal of Technology Management 615.
Bradley Fidler, ‘Cybersecurity Governance: A Prehistory and Its Implications’ (2017) 19 Digital Policy, Regulation and Governance 449.
David Collingridge, The Social Control of Technology (St Martin’s Press 1980).
European Data Protection Board, ‘Guidelines 05/2022 on the Use of Facial Recognition Technology in the Area of Law Enforcement’<https://edpb.europa.eu/system/files/2022-05/edpb-guidelines_202205_frtlawenforcement _en_1.pdf> สืบค้นเมื่อ9กรกฎาคม 2566.
'New Vehicle General Safety Regulation’ (European Commission, 6 July 2022) <https://ec.europa.eu/commission/presscorner/detail/en/IP_22_4312> สืบค้นเมื่อ 9 กรกฎาคม 2566.
OECD, ‘OECD Framework for the Classification of AI Systems’ (OECD, 2022) <https://www.oecd-ilibrary.org/ science-and-technology/oecd-framework-for-the-classification-of-ai-systems_cb6d9eca-en> สืบค้นเมื่อ 8 กรกฎาคม 2566.
OECD, ‘Scoping the OECD AI Principles: Deliberations of the Expert Group on Artificial Intelligence at the OECD (AIGO)’ (OECD, 2019) <https://www.oecd-ilibrary.org/science-and-technology/scoping-the-oecd-ai-principles_d62f618a-en> สืบค้นเมื่อ 22 มิถุนายน2565.
Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on ArtificialIntelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts, COM/2021/206 final.
Rafael A Calvo, Dorian Peters and Stephen Cave, ‘Advancing Impact Assessment for Intelligent Systems’ (2020) 2 Nature Machine Intelligence 89.
Raija Koivisto and others, ‘Integrating Future-Oriented Technology Analysis and Risk Assessment Methodologies’ (2009) 76 Technological Forecasting and Social Change 1163.
Reva Schwartz and others, ‘Towards a Standard for Identifying and Managing Bias in Artificial Intelligence’ (2022) <https://www.nist.gov/publications/towards-standard-identifying-and-managing-bias-artificial-intelligence> สืบค้นเมื่อ 22 มิถุนายน 2565.
Rinie van Est, Bart Walhout and Frans Brom, ‘Risk and Technology Assessment’ in Sabine Roeser and others (eds), Handbook of Risk Theory: Epistemology, Decision Theory, Ethics, and Social Implications of Risk (Springer Netherlands 2012).
Roger Clarke, ‘Principles and Business Processes for ResponsibleAI’ (2019) 35 Computer Law & Security Review 410.
Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (4th edn, Pearson 2020).
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Thammasat Law Journal

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The manuscripts published in the Law Journal is the copyright of the Law Journal, Thammasat University
Any article or opinion appeared in the Law Journal will solely be under the responsibility of the author The Faculty of Law, Thammasat University and the editors do not need to reach in agreement or hold any responsibility.