Privacy and Data Governance for Trustworthy AI

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Perustieteiden korkeakoulu | Bachelor's thesis
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Date

2024-04-26

Department

Major/Subject

Data Science

Mcode

SCI3095

Degree programme

Aalto Bachelor’s Programme in Science and Technology

Language

en

Pages

22+3

Series

Abstract

There has been increasing usage and demand for AI tools in various fields, including education, healthcare, transportations, etc. Alongside the benefits that AI tools can provide, they also introduce a number of problems, such as copyright issues, data leakage, privacy invasion, etc. Since AI systems possess significant impact in numerous aspects, it is important to examine AI tools carefully to prevent undesirable situations. To achieve this goal, this thesis aims to gain insights into the concept of trustworthy AI by conducting a literature review of the European guidelines for trustworthy AI. The thesis then examines closely a specific aspect of trustworthy AI, data privacy and governance, and the methods to achieve this aspect. To further analyze and evaluate possible methods, this thesis selects Nightshade, a data poisoning tool, as a specific example among existing technical methods. Additionally, to gain a more inclusive comprehension of trustworthy AI guidelines, this thesis provides a comparison between European framework and Singaporean framework. Subsequently, evaluations of findings, research limitations and suggestions for further research are discussed.

Description

Supervisor

Korpi-Lagg, Maarit

Thesis advisor

Pfau, Diana

Keywords

trustworthy AI, privacy and data governance

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https://urn.fi/URN:NBN:fi:aalto-202406184532

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[kand] Perustieteiden korkeakoulu / SCI