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Technological Remedies for Social Problems: Defining and Demarcating Techno-Fixes and Techno-Solutionism.
Sci Eng Ethics
December 2024
Dept. Philosophy, Rochester Institute of Technology, Rochester, USA.
Can technology resolve social problems by reducing them to engineering challenges? In the 1960s, Alvin Weinberg answered yes, popularizing the term "techno-fix" in the process. The concept was immediately criticized and over time evolved into a disparaging term-a synonym for unrealistic technological proposals and their advocates. As the debate progressed, skepticism grew to include condemnation of a related term: "techno-solutionism.
View Article and Find Full Text PDFBlockchain humanitarianism and crypto-colonialism.
Patterns (N Y)
January 2022
University of Otago, Dunedin, New Zealand.
The humanitarian sector has emerged as a powerful mechanism of legitimation for blockchain technology. Platform developers in the aid sector have been eager to showcase the promise of decentralization and encrypted blockchain data as the inheritance of the world's poor and developing nations. This article claims that humanitarian blockchain projects are inextricably linked to the politics of the crypto-economy, proprietary platforms, and a class of solutionists championing Silicon Valley's cultural values.
View Article and Find Full Text PDFThe road to a human-centred digital society: opportunities, challenges and responsibilities for humans in the age of machines.
AI Ethics
November 2021
Centre on AI Technology for Humankind (AiTH), NUS Business School, 15 Kent Ridge Drive, Singapore, 119245 Singapore.
The growing adoption of intelligent technologies has brought us to a crossroad. The creators of intelligent technologies are acquiring the power to influence a wide variety of outcomes that are important to human end-users. In doing so, those same intelligent technologies are being used to undermine and even actively harm the interests of those same end-users.
View Article and Find Full Text PDFEthics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review.
JMIR Ment Health
June 2021
Melbourne School of Government, University of Melbourne, Melbourne, Australia.
Background: Uncertainty surrounds the ethical and legal implications of algorithmic and data-driven technologies in the mental health context, including technologies characterized as artificial intelligence, machine learning, deep learning, and other forms of automation.
Objective: This study aims to survey empirical scholarly literature on the application of algorithmic and data-driven technologies in mental health initiatives to identify the legal and ethical issues that have been raised.
Methods: We searched for peer-reviewed empirical studies on the application of algorithmic technologies in mental health care in the Scopus, Embase, and Association for Computing Machinery databases.
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