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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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Get in-depth knowledge of a subject
4.1

(7 reviews)

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.1

(7 reviews)

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

22 practice exercises

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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

Artificial Intelligence, Responsible AI, Accountability, Informed Consent, Business Ethics, Generative AI Agents, Data Collection, Personally Identifiable Information, Information Privacy, Data Governance, Ethical Standards And Conduct, Data Ethics, and Algorithms

What you'll learn

Skills you'll gain

Responsible AI, Artificial Intelligence, Stakeholder Analysis, Information Systems Security Assessment Framework (ISSAF), Risk Mitigation, Regulatory Compliance, Data Ethics, Generative AI, Compliance Management, Risk Analysis, and Information Privacy

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

Generative AI, Artificial Intelligence, AI Product Strategy, End User Training and Support, Data Ethics, Ethical Standards And Conduct, Responsible AI, Human Computer Interaction, User Feedback, and Information Privacy

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

Large Language Modeling, Risk Mitigation, Threat Modeling, Security Strategy, Cyber Attacks, Prompt Engineering, Risk Analysis, Network Security, Cybersecurity, Vulnerability Assessments, and Cyber Security Assessment

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

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

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

Compliance Management, Productivity Software, Artificial Intelligence, Law, Regulation, and Compliance, Research, Governance, Legal Strategy, Legal Research, Responsible AI, Data Ethics, Legal Risk, Legal Technology, Workflow Management, General Data Protection Regulation (GDPR), Automation, and Analysis

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Instructors

Kelley O'Connell
11 Courses34,959 learners
Paweł Mielniczek
Coursera Instructor Network
19 Courses17,680 learners
Phil Gold
Coursera Instructor Network
9 Courses19,889 learners

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