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Data Privacy, Ethics, and Responsible AI Specialization
Coursera Instructor Network

Data Privacy, Ethics, and Responsible AI Specialization

Ethical AI and Data Privacy Compliance. Build responsible AI systems while ensuring regulatory compliance and protecting user rights.

Kelley O'Connell
Paweł Mielniczek
Phil Gold

Instructors: Kelley O'Connell

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4 weeks to complete
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Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Implement ethical frameworks for responsible AI development and deployment in organizational settings

  • Conduct comprehensive rights impact assessments and ensure compliance with data protection regulations

  • Design effective user education programs and security measures for AI systems and data privacy protection

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Taught in English
Recently updated!

August 2025

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Specialization - 6 course series

What you'll learn

  • Describe the roots and evolution of AI chatbots in modern business so the learner can assess current applications and use cases.

  • Demonstrate the importance of ethics in technology and, specifically, in the application of AI Chatbots.

  • Assess the current state of data privacy, consent, and transparency in modern business AI implementations.

  • Illustrate the significance of bias and fairness in AI-powered chatbots.

Skills you'll gain

Category: Data Ethics
Category: Artificial Intelligence
Category: Ethical Standards And Conduct
Category: Machine Learning
Category: Generative AI Agents
Category: Business Ethics
Category: Data Governance
Category: Information Privacy
Category: Accountability
Category: Personally Identifiable Information
Category: Algorithms

What you'll learn

Skills you'll gain

Category: Risk Analysis
Category: Information Privacy
Category: Personally Identifiable Information
Category: Artificial Intelligence
Category: Stakeholder Engagement
Category: Regulation and Legal Compliance
Category: Information Assurance
Category: Generative AI
Category: Data Ethics
Category: Risk Management
Category: Compliance Management

What you'll learn

  • Explain the background of Generative AI and how it differs from older AI models.

  • Describe how Generative AI is impacting the world of business and entertainment.

  • Describe ways to enhance user awareness and encourage ongoing education around AI and Generative AI.

  • List ways to build user trust in AI systems.

Skills you'll gain

Category: Generative AI
Category: Intellectual Property
Category: Artificial Intelligence
Category: Ethical Standards And Conduct
Category: Data Ethics
Category: ChatGPT
Category: Education and Training
Category: End User Training and Support
Category: User Feedback
Category: Business Ethics
Category: Information Privacy
Category: AI Personalization

What you'll learn

  • Analyze and discuss various attack methods targeting Large Language Model (LLM) applications.

  • Demonstrate the ability to identify and comprehend the primary attack method, Prompt Injection, used against LLMs. 

  • Evaluate the risks associated with Prompt Injection attacks and gain an understanding of the different attack scenarios involving LLMs.

  • Formulate strategies for mitigating Prompt Injection attacks, enhancing their knowledge of security measures against such threats.

Skills you'll gain

Category: Threat Modeling
Category: Cybersecurity
Category: Risk Mitigation
Category: Vulnerability Assessments
Category: Application Security
Category: Cyber Attacks
Category: ChatGPT
Category: Security Strategy
Category: Prompt Engineering
Category: Risk Analysis
Category: Large Language Modeling
Category: OpenAI

What you'll learn

  • Assess Global Data Privacy Regulations and Their Impact on Businesses.

  • Implement Data Protection Strategies for Security and Breach Prevention.

  • Establish Data Privacy Compliance through Assessments and Policies.

Skills you'll gain

Category: Information Privacy
Category: Personally Identifiable Information
Category: Data Security
Category: Employee Training
Category: Data Governance
Category: Compliance Training
Category: Regulatory Compliance
Category: Compliance Management
Category: Safety Culture
Category: Data Management
Category: Law, Regulation, and Compliance
Category: Security Controls
Category: General Data Protection Regulation (GDPR)
Category: Data Integrity
Category: Data Loss Prevention
Category: Data Ethics
Category: Regulatory Requirements
Category: Security Strategy
Category: Incident Response

What you'll learn

  • Examine AI's role in legal processes and identify opportunities to automate operations, increase efficiency, and enhance workflow optimization.

  • Implement AI-powered legal tools and procedures to ensure compliance with European legislation, such as the GDPR and the EU AI Act.

  • Assess ethical implications of AI in legal practice and devise strategies to mitigate risks for responsible, transparent use in client interactions.

  • Use AI technologies to streamline workflows for legal research, document review, and case analysis, for faster, accurate, and better client service.

Skills you'll gain

Category: Regulation and Legal Compliance
Category: Compliance Management
Category: Data Ethics
Category: Data Governance
Category: Electronic Discovery
Category: Legal Strategy
Category: Business Workflow Analysis
Category: Productivity Software
Category: Law, Regulation, and Compliance
Category: Operational Efficiency
Category: Analysis
Category: Legal Research
Category: General Data Protection Regulation (GDPR)
Category: Research
Category: Ethical Standards And Conduct
Category: Legal Risk
Category: Artificial Intelligence
Category: Governance
Category: Automation
Category: Workflow Management

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Instructors

Kelley O'Connell
11 Courses31,391 learners
Paweł Mielniczek
Coursera Instructor Network
17 Courses15,596 learners
Phil Gold
Coursera Instructor Network
9 Courses17,752 learners

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