The Janus Face of Innovation: Global Disparities and Divergent Options
- URL: http://arxiv.org/abs/2503.07676v1
- Date: Mon, 10 Mar 2025 06:33:07 GMT
- Title: The Janus Face of Innovation: Global Disparities and Divergent Options
- Authors: Nihat Mugurtay,
- Abstract summary: I argue this challenge entails new institutional mechanisms for technology transfer and regulatory cooperation.<n>Good practices could help developing countries close the deepening gap of global technological divides.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: This article examines how unequal access to AI innovation creates systemic challenges for developing countries. Differential access to AI innovation results from the acute competition between domestic and global actors. While developing nations contribute significantly to AI development through data annotation labor, they face limited access to advanced AI technologies and are increasingly caught between divergent regulatory approaches from democratic and authoritarian tendencies. This brief paper analyzes how more affordable AI engagement and Western countries' development cooperation present developing nations with a complex choice between accessibility and governance standards. I argue this challenge entails new institutional mechanisms for technology transfer and regulatory cooperation, while carefully balancing universal standards with local needs. In turn, good practices could help developing countries close the deepening gap of global technological divides, while ensuring responsible AI development in developing countries.
Related papers
- Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asia [0.0]
This study conducts a comparative analysis of AI trends in the United States (US), the European Union (EU), and Asia.
It focuses on three key dimensions: generative AI, ethical oversight, and industrial applications.
The US prioritizes market-driven innovation with minimal regulatory constraints, the EU enforces a precautionary risk-based framework emphasizing ethical safeguards, and Asia employs state-guided AI strategies that balance rapid deployment with regulatory oversight.
arXiv Detail & Related papers (2025-04-01T11:05:47Z) - Decentralized Governance of Autonomous AI Agents [0.0]
ETHOS is a decentralized governance (DeGov) model leveraging Web3 technologies, including blockchain, smart contracts, and decentralized autonomous organizations (DAOs)<n>It establishes a global registry for AI agents, enabling dynamic risk classification, proportional oversight, and automated compliance monitoring.<n>By integrating philosophical principles of rationality, ethical grounding, and goal alignment, ETHOS aims to create a robust research agenda for promoting trust, transparency, and participatory governance.
arXiv Detail & Related papers (2024-12-22T18:01:49Z) - Risks and Opportunities of Open-Source Generative AI [64.86989162783648]
Applications of Generative AI (Gen AI) are expected to revolutionize a number of different areas, ranging from science & medicine to education.
The potential for these seismic changes has triggered a lively debate about the potential risks of the technology, and resulted in calls for tighter regulation.
This regulation is likely to put at risk the budding field of open-source generative AI.
arXiv Detail & Related papers (2024-05-14T13:37:36Z) - Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits [54.648819983899614]
General purpose AI seems to have lowered the barriers for the public to use AI and harness its power.
We introduce PARTICIP-AI, a framework for laypeople to speculate and assess AI use cases and their impacts.
arXiv Detail & Related papers (2024-03-21T19:12:37Z) - Towards Responsible AI in Banking: Addressing Bias for Fair
Decision-Making [69.44075077934914]
"Responsible AI" emphasizes the critical nature of addressing biases within the development of a corporate culture.
This thesis is structured around three fundamental pillars: understanding bias, mitigating bias, and accounting for bias.
In line with open-source principles, we have released Bias On Demand and FairView as accessible Python packages.
arXiv Detail & Related papers (2024-01-13T14:07:09Z) - Managing extreme AI risks amid rapid progress [171.05448842016125]
We describe risks that include large-scale social harms, malicious uses, and irreversible loss of human control over autonomous AI systems.
There is a lack of consensus about how exactly such risks arise, and how to manage them.
Present governance initiatives lack the mechanisms and institutions to prevent misuse and recklessness, and barely address autonomous systems.
arXiv Detail & Related papers (2023-10-26T17:59:06Z) - International Institutions for Advanced AI [47.449762587672986]
International institutions may have an important role to play in ensuring advanced AI systems benefit humanity.
This paper identifies a set of governance functions that could be performed at an international level to address these challenges.
It groups these functions into four institutional models that exhibit internal synergies and have precedents in existing organizations.
arXiv Detail & Related papers (2023-07-10T16:55:55Z) - The Future of Fundamental Science Led by Generative Closed-Loop
Artificial Intelligence [67.70415658080121]
Recent advances in machine learning and AI are disrupting technological innovation, product development, and society as a whole.
AI has contributed less to fundamental science in part because large data sets of high-quality data for scientific practice and model discovery are more difficult to access.
Here we explore and investigate aspects of an AI-driven, automated, closed-loop approach to scientific discovery.
arXiv Detail & Related papers (2023-07-09T21:16:56Z) - Legal Provocations for HCI in the Design and Development of Trustworthy
Autonomous Systems [2.575172714412997]
We consider a series of legal provocations emerging from the proposed European Union AI Act 2021 (AIA)
AIA targets AI developments that pose risks to society and citizens fundamental rights, introducing mandatory design and development requirements for high-risk AI systems (HRAIS)
These requirements open up new opportunities for HCI that reach beyond established concerns with the ethics and explainability of AI and situate AI development in human-centered processes and methods of design to enable compliance with regulation and foster societal trust in AI.
arXiv Detail & Related papers (2022-06-15T13:03:43Z) - The Limits of Global Inclusion in AI Development [7.421135890148154]
Extant global inequality has motivated Western institutions to involve more diverse groups in the development and application of AI systems.
We argue that more focus should be placed on the redistribution of power, rather than just on including underrepresented groups.
arXiv Detail & Related papers (2021-02-02T02:53:40Z) - Regulating Artificial Intelligence: Proposal for a Global Solution [6.037312672659089]
We argue that AI-related challenges cannot be tackled effectively without sincere international coordination.
We propose the establishment of an international AI governance framework organized around a new AI regulatory agency.
arXiv Detail & Related papers (2020-05-22T09:24:07Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.