Processing Operations ‘Likely to Result in a High Risk to the Rights and Freedoms of Natural Persons’

Demetzou, Katerina

doi:10.1007/978-3-030-55196-4_2

Cited by 3 publications

(3 citation statements)

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“…We need to bear in mind that legal instruments have severe weaknesses when applied to artificial intelligence. Demetzou (2020) proposes a framework, based on Data Protection Impact Assessment (DPIA) to assess the right to non-discrimination as one of the key fundamental rights that GDPR aims to safeguard.…”

Section: Literature Reviewmentioning

confidence: 99%

Pricing Powered by Artificial Intelligence: An Assessment Model for the Sustainable Implementation of AI Supported Price Functions

Erdmann,

Yazdani,

Mas Iglesias

et al. 2024

Informatica

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Artificial Intelligence (AI) in the price management process is being applied in business practice and research to a variety of pricing use cases that can be augmented or automated, providing opportunities as a forecasting tool or for price optimization. However, the complexity of evaluating the technology to prioritize implementation is challenging, especially for small and medium enterprises (SMEs), and guidance is sparse. Which are the relevant stakeholder criteria for a sustainable implementation of AI for pricing purpose? Which type of AI supported price functions meet these criteria best? Theoretically motivated by the hedonic price theory and advances in AI research, we identify nine criteria and eight AI supported price functions (AISPF). A multiple attribute decision model (MADM) using the fuzzy Best Worst Method (BWM) and fuzzy combined compromise solution (CoCoSo) is set up and evaluated by pricing experts from Germany and Spain. To validate our results and model stability, we carried out several random sensitivity analyses based on the weight of criteria exchange. The results suggest accuracy and reliability as the most prominent attribute to evaluate AISPF, while ethical and sustainable criteria are sorted as least important. The AISPF which best meet the criteria are financial prices followed by procurement prices.

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Section: Literature Reviewmentioning

confidence: 99%

Pricing Powered by Artificial Intelligence: An Assessment Model for the Sustainable Implementation of AI Supported Price Functions

Erdmann,

Yazdani,

Mas Iglesias

et al. 2024

Informatica

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“…[38]. There are two main types of studies: Evaluations of approaches to implementing DPIA or sub-elements thereof [14,29] and studies on the notion of risk under the GDPR [15,19,21].…”

Section: Related Workmentioning

confidence: 99%

“…35 (1) GDPR must be conducted. In guidance concerning the severity of privacy risks the Article 29 Data Protection Working Party proposed -in their Guidelines on Data Protection Impact Assessment -several criteria which serve to define technologies as constituting a high risk: evaluation and scoring, automated-decision making with legal or similar significant effect, systematic monitoring, sensitive data, data processed on a large scale) [2,14].…”

Section: Introductionmentioning

confidence: 99%

Data Protection Impact Assessments in Practice

Friedewald

Schiering

Martin

et al. 2022

Computer Security. ESORICS 2021 International Workshops

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In the context of the project A Data Protection Impact Assessment (DPIA) Tool for Practical Use in Companies and Public Administration an operationalization for Data Protection Impact Assessments was developed based on the approach of Forum Privatheit. This operationalization was tested and refined during twelve tests with startups, small- and medium sized enterprises, corporations and public bodies. This paper presents the operationalization and summarizes the experience from the tests.

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Artificial Intelligence vs Data Protection: How the GDPR Can Help to Develop a Precautionary Regulatory Approach to AI?

Mazur

2023

Law, Governance and Technology Series

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Processing Operations ‘Likely to Result in a High Risk to the Rights and Freedoms of Natural Persons’

Cited by 3 publications

References 0 publications

Pricing Powered by Artificial Intelligence: An Assessment Model for the Sustainable Implementation of AI Supported Price Functions

Pricing Powered by Artificial Intelligence: An Assessment Model for the Sustainable Implementation of AI Supported Price Functions

Data Protection Impact Assessments in Practice

Artificial Intelligence vs Data Protection: How the GDPR Can Help to Develop a Precautionary Regulatory Approach to AI?

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