Making the Automaton Speak

Park, Julie

doi:10.1093/oso/9780198846666.003.0006

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…Moreover, trade agreements should include provisions that promote the responsible and ethical use of AI technologies, such as safeguards for data privacy and protection, mechanisms for algorithmic transparency and accountability, and provisions for addressing the social and ethical implications of AI-driven trade. By embedding these principles into trade agreements, policymakers can promote a level playing field, foster trust and confidence in AI technologies, and ensure that trade benefits are distributed equitably across society (Yeboah, 2020;Park, 2022). Looking ahead, future research and policy development efforts should focus on addressing emerging challenges and opportunities in AI-driven trade.…”

Section: Recommendations For Policy and Governancementioning

confidence: 99%

Navigating the Legal Complexities of Artificial Intelligence in Global Trade Agreements

Etinosa Igbinenikaro,

Adefolake Olachi Adewusi

2024

Int. j. appl. res. soc. sci.

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As artificial intelligence (AI) continues to revolutionize global trade, it brings with it a host of legal complexities that challenge traditional frameworks within international trade agreements. This abstract explores the emerging problem of integrating AI into global trade agreements, identifies its purpose in addressing these challenges, highlights existing research gaps, and outlines the structure of the study. The proliferation of AI technologies in global trade presents a myriad of legal challenges, including issues related to intellectual property rights, data protection, liability, and regulatory frameworks. Existing international trade agreements often lack specific provisions addressing AI, leading to ambiguity and inconsistency in legal interpretation. Moreover, the rapid pace of technological advancement outpaces the ability of legal frameworks to adapt, exacerbating the problem. The purpose of this study is to analyze the legal complexities arising from the integration of AI into global trade agreements and to propose potential solutions for addressing these challenges. By examining existing legal frameworks, case studies, and scholarly literature, this research aims to provide insights into the development of AI-inclusive trade policies that foster innovation while safeguarding against potential risks and inequalities. While there is a growing body of literature addressing the intersection of AI and various legal domains, such as ethics, privacy, and labor law, there remains a notable gap in the understanding of how AI impacts international trade agreements specifically. Existing research primarily focuses on domestic regulatory frameworks, leaving a dearth of comprehensive analysis on the implications of AI for global trade governance. This study seeks to fill this gap by exploring the unique legal challenges posed by AI in the context of international trade agreements. This study will begin by providing an overview of the current landscape of AI technologies and their applications in global trade. It will then analyze the existing legal frameworks within international trade agreements and identify areas of ambiguity and inconsistency concerning AI. Subsequently, the study will explore case studies and examples of AI implementation in trade, examining the legal implications and challenges encountered. Finally, the research will propose recommendations and policy guidelines for integrating AI into future trade agreements, ensuring coherence, fairness, and adaptability in the face of technological innovation. Keywords: Law, Business Law, Legal, Artificial Intelligence, Trade Agreement.

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Section: Recommendations For Policy and Governancementioning

confidence: 99%

Navigating the Legal Complexities of Artificial Intelligence in Global Trade Agreements

Etinosa Igbinenikaro,

Adefolake Olachi Adewusi

2024

Int. j. appl. res. soc. sci.

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The Eliza effect and its dangers: from demystification to gender critique

Dillon

2020

Journal for Cultural Research

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This essay provides a gender critique of the Eliza effect. It delineates the way in which the Eliza effect is operationalised in AI research even as it is ostensibly demystified, for example in the writings of Douglas Hofstadter and Joseph Weizenbaum. It then exposes the gendered assumptions embedded in the nomenclature used to name this misperception of the computer as having capabilities equivalent to the human. It traces the genealogy of that nomenclature back through Weizenbaum's ELIZA, to George Bernard Shaw's Pygmalion. A close reading of the play is deployed in order to reveal the structural inequities of gender, class, and who or what gets to be human, that are both explored in the play and encoded in the operation and operationalisations of the Eliza effect. It concludes by attending to that operation and operationalisation in relation to today's Virtual Personal Assistant's, and makes a case for the importance of critique in order to expose the inequitable structures of power obscured and compounded by the Eliza effect -both its name, and that which it names.

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AI Narratives and the French Touch

Chalmers¹

2023

Imagining AI

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Late nineteenth- and early twentieth-century French culture explores the birth of the technologies which underpin our contemporary life, from audio-visual recording to industrial automation. This chapter proposes that there is a uniquely French mode of approaching what we would now recognize as artificial intelligence (AI): a mode that is distinct from the fragmentation of Anglo–American modernism or the fascist sex-and-speed machines of Italian futurism. The French touch lies in its meta-reflexive narrative play, which allows it to test out technological and political scenarios. This chapter teases out its specificity by turning to two critically overlooked late nineteenth-century narratives and suggests that looking back to these imaginings of the past can help us to navigate our technological present.

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Making the Automaton Speak

Cited by 3 publications

References 2 publications

Navigating the Legal Complexities of Artificial Intelligence in Global Trade Agreements

Navigating the Legal Complexities of Artificial Intelligence in Global Trade Agreements

The Eliza effect and its dangers: from demystification to gender critique

AI Narratives and the French Touch

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