GDPR
The General Data Protection Regulation (GDPR) is a European Union regulation governing the processing of personal data and protecting individuals’ rights concerning that data.
Data for All
The General Data Protection Regulation is a European Union regulation governing the processing and protection of personal data.
- How it is used
- Frames personal-data protection as a response to online targeting and as a foundation for changing how organizations handle individuals’ data.
- How deep it goes
- Illustrates a concrete consent requirement and surveys wider influence, without providing a comprehensive legal survey or compliance procedure.
- Examples
- Uses a Chicago company’s French email campaign to show an unchecked consent box and a clear explanation of data use.
- What you can do after
- Evaluate/understand how a request for personal data communicates its intended use, and why organizations face responsibilities when collecting it.
Introduction to Generative AI, Second Edition
The GDPR is the European Union regulation governing the processing and protection of personal data and the rights of individuals.
- How it is used
- Frames privacy and accountability questions when generative AI systems process people’s personal data.
- How deep it goes
- Defines scope, seven principles, individual rights, and lawful bases, but does not provide a compliance procedure.
- Examples
- Illustrates enforcement concerns through Italy’s temporary 2023 ChatGPT ban, including questions about accuracy, transparency, children, and lawful processing.
- What you can do after
- Evaluate/understand whether an AI service’s use of personal data raises questions about lawful processing, individual rights, or accountability.
Read how Introduction to Generative AI, Second Edition explains GDPR →
Delivering Machine Learning Projects: From design to deployment
GDPR is the European Union regulation governing the processing and protection of personal data.
- How it is used
- Constrains ML project proposals and structures pre-project privacy, regulatory, and ethical checks.
- How deep it goes
- Defines GDPR as a limitation and turns compliance into documentation and investigation tasks, without detailing specific GDPR provisions.
- Examples
- Uses PS8 tickets, Privacy & Data Impact Assessments, Algorithmic Impact Assessments, and domain examples from medicine, finance, and industry.
- What you can do after
- Evaluate proposed ML activities, document privacy impacts, and investigate applicable laws before delivery decisions.
Read how Delivering Machine Learning Projects: From design to deployment explains GDPR →
Effective Data Analysis
The General Data Protection Regulation (GDPR) is a European Union regulation governing the processing and protection of personal data and related individual rights.
- How it is used
- Guides analysts and organizations in collecting, retaining, using, and protecting personal data responsibly.
- How deep it goes
- Explains scope, rights, data minimization, anonymization, and team coordination without detailing legal procedures or technical standards.
- Examples
- Uses documented project fields and replaces full names with random strings as practical compliance examples.
- What you can do after
- Apply data minimization and anonymization while coordinating access and rights practices with relevant organizational teams.
Starting Data Analytics with Generative AI and Python
The General Data Protection Regulation is a European Union regulation governing the processing and protection of personal data.
- How it is used
- Guides organizations using generative AI for analytics toward compliant personal-data processing.
- How deep it goes
- Identifies consent, retention, data-subject rights, and provider checks without detailing legal tests or implementation procedures.
- Examples
- Uses consent, retention policies, access, correction, deletion, and outsourced-model compliance as practical examples.
- What you can do after
- Operate analytics workflows with clearer checks for consent, retention, data-subject rights, and model-provider compliance.
Read how Starting Data Analytics with Generative AI and Python explains GDPR →
First-Party Data Activation
A European Union regulation governing the processing and protection of personal data.
- How it is used
- Positions privacy, transparency, and user control as operating principles for responsible, privacy-centric marketing.
- How deep it goes
- Defines strict data-usage expectations and business implications but stops short of detailed legal provisions or compliance procedures.
- Examples
- Uses behavioral tracking, data breaches, encryption, access controls, and first-party collection to illustrate privacy responsibilities.
- What you can do after
- Operate privacy-centric marketing by limiting collection, protecting data, improving transparency, and respecting user preferences.
Related concepts
- data privacy regulationkind of · A data privacy regulation is a legally binding rule governing how personal data may be collected, processed, stored, used, disclosed, transferred, or protected.
- personal dataconfigures · Personal data is information relating to an identified or identifiable person, directly or indirectly, alone or in combination with other information.
- privacyconfigures · Privacy is the protection and controlled handling of information or activities to prevent inappropriate access, collection, use, or disclosure.
- right to erasurehas part · The right to erasure is a data-protection right to request deletion of qualifying personal data, subject to applicable legal conditions and exceptions.
- explicit user consentconfigures · Explicit user consent is a person’s clearly expressed permission for a specified action or use of their information or resources.
- HIPAAcontrasts with · HIPAA, the Health Insurance Portability and Accountability Act, is a United States federal law that includes provisions governing health information privacy and security, insurance portability, and administrative simplification.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.