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RGPD compliance of processings that embed Artificial Intelligence An introduction
This guideline is aimed to be a first survey for the compliance to the GDPR of products and services that embed Artificial Intelligence components. The label "Artificial Intelligence" is used for many kinds of technical solutions, one of the most characteristic is Machine Learning or ML. Nowadays, AI is one more component that could be embedded in a processing carried out by a data controller. In many cases, such component has been developed by third parties. AI arise many concerns among users, researchers, professionals, authorities and industry regarding with compliance, human rights, and judicial certainty of the stakeholders. Such concerns and doubts difficult the right technological development.
I. INTRODUCTION TO THE AI FRAMEWORK AND DATA PROTECTION:
A. AI Techniques.
B. Data processing by means of AI solutions.
C. Data protection and ethical dimension.
D. GDPR definitions.
E. Life cycle of an AI solution.
F. Personal data processing by means of AI.
G. Assessment of AI-based solutions.
H. Short summary of obligations lay down by the GDPR.
II. ROLES, RELATIONSHIPS AND RESPONSABILITIES:
III. COMPLIANCE.
A. Lawfulness and limited purpose.
B. Information.
C. General aspects related to the exercise of rights.
D. Right to access.
E. Right to erasure.
F. Blocking of data.
G. Right to rectification.
H. Portability.
I. Decision-making based on automated processing.
IV. PRIVACY RISKS MANAGEMENT:
A. Risk assessment.
B. Privacy Impact Assessment-(PIA).
C. Transparency.
D. Accuracy.
E. Minimisation.
F. Security.
G. Assessment of the proportionality and the need for such processing.
H. Audit.
V. INTERNATIONAL TRANSFERS.
VI. CONCLUSIONS.
VII. REFERENCES.
VIII. ANNEX: CURRENT AI-BASED SERVICES.
- Formato: PDF
- Número de páginas: 49
- Tamaño: 806 Kb.
This guideline is aimed to be a first survey for the compliance to the GDPR of products and services that embed Artificial Intelligence components. The label "Artificial Intelligence" is used for many kinds of technical solutions, one of the most characteristic is Machine Learning or ML. Nowadays, AI is one more component that could be embedded in a processing carried out by a data controller. In many cases, such component has been developed by third parties. AI arise many concerns among users, researchers, professionals, authorities and industry regarding with compliance, human rights, and judicial certainty of the stakeholders. Such concerns and doubts difficult the right technological development.
I. INTRODUCTION TO THE AI FRAMEWORK AND DATA PROTECTION:
A. AI Techniques.
B. Data processing by means of AI solutions.
C. Data protection and ethical dimension.
D. GDPR definitions.
E. Life cycle of an AI solution.
F. Personal data processing by means of AI.
G. Assessment of AI-based solutions.
H. Short summary of obligations lay down by the GDPR.
II. ROLES, RELATIONSHIPS AND RESPONSABILITIES:
III. COMPLIANCE.
A. Lawfulness and limited purpose.
B. Information.
C. General aspects related to the exercise of rights.
D. Right to access.
E. Right to erasure.
F. Blocking of data.
G. Right to rectification.
H. Portability.
I. Decision-making based on automated processing.
IV. PRIVACY RISKS MANAGEMENT:
A. Risk assessment.
B. Privacy Impact Assessment-(PIA).
C. Transparency.
D. Accuracy.
E. Minimisation.
F. Security.
G. Assessment of the proportionality and the need for such processing.
H. Audit.
V. INTERNATIONAL TRANSFERS.
VI. CONCLUSIONS.
VII. REFERENCES.
VIII. ANNEX: CURRENT AI-BASED SERVICES.
- Formato: PDF
- Número de páginas: 49
- Tamaño: 806 Kb.
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