University of Twente Student Theses


Mind the gap : enhancing the ethical regulation of low-code/no-code AI platforms

Marchiori, S. (2022) Mind the gap : enhancing the ethical regulation of low-code/no-code AI platforms.

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Abstract:Low-code/no-code AI platforms allow virtually anyone with a computer and an internet connection to develop AI systems autonomously in a fast, easy, and inexpensive way, without the need for expert human supervision. This results in AI systems that are likely to give rise to a wide range of ethical issues but are not routinely checked for ethical shortcomings before being implemented. This is concerning in that it effectively delegates ethically charged development choices to individuals who may not have the necessary skill set to grasp their significance. My aim in this thesis is twofold. On the one hand, I avail myself of a standard applied ethics approach to examine the extent to which the current EU regulatory landscape provides adequate tools to mitigate the ethical concerns raised by low-code/no-code AI platforms and their applications. On the other hand, I aim to propose adjustments to enhance such a framework to the extent that it does not. Specifically, I focus my attention on three categories of ethical concerns, namely, the lack of transparency, the presence of bias and discrimination, and the lack of responsibility. I ultimately argue that the regulatory framework currently in place in the European Union is overall inadequately equipped to mitigate the ethical issues arising from the design, development, and deployment of low-code/no-code AI platforms and the resulting AI systems. On the one hand, non-legal regulatory tools are inadequate due to their voluntary nature not guaranteeing adherence to their guidelines. On the other hand, regulatory measures of legal nature lack the appropriate level of granularity to effectively mitigate the ethical concerns under investigation. I conclude the thesis by proposing two adjustments to the AI Act that would enhance the ethical regulation of low-code/no-code AI platforms in the EU.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:08 philosophy
Programme:Philosophy of Science, Technology and Society MSc (60024)
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