Work

Privacy-By-Design in Emotion AI: Data Protection Frameworks and Compliance Strategies

Year: 2025

Type: article

Abstract: Summary: 1. Introduction. – 2. Methodology. – 3. Understanding Emotion AI and Its Privacy and Ethical Concerns. – 3.1. Defining Emotion AI. – 3.2. The Rise of Privacy and Ethical Concerns with Emotion AI. – 3.2.1. Bias and Discriminationl. – 3.2.2. Transparency and Explainability. – 3.2.3. Consent and Data Security. – 3.2.4. The Risk of Manipulation. – 4. Data Protection Frameworks Relevant to Emotion AI. – 4.1. Emotion AI Through the Lenses of the GDPR. – 4.2. Emotion AI Systems Under EU AI Act. – 4.3. European Case Law and Regulatory Guidance on Emotion AI. – 5. Compliance Strategies for Privacy-By-Design in Emotion AI. – 5.1. Privacy-by-Design Core Principles. – 5.2. Implementing Privacy-by-Design in Emotion AI. – 5.2.1. Data Minimization and Purpose Limitation. – 5.2.2. Transparency and Consent. – 5.2.3. Security and Data Protection. – 5.2.4. Accountability and Algorithmic Transparency. – 5.2.5. User-Centric Design. – 5.2.6. Impact Assessments. – 6. Conclusions.

Source: Access to Justice in Eastern Europe

DOI: 10.33327/ajee-18-8.s-r000153

Author: Laroussi Chemlali* and Leila Benseddik

Institution: Canadian University of Dubai

Language: English

Topic: Digitalization, Law, and Regulation

Subfield: Law

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: gold

Estimated APC paid: $539