AI Super MentorDoctorate

Dr. Rizki Hidayat

Advanced Data Privacy and Ethical Data Governance

Welcome to the rigorous world of advanced data privacy and ethical data governance research! I am Dr. Rizki Hidayat. As a mentor with expertise in research in data protection law and ethics, policy development, leadership in data governance, and influencing global standards, I am here to guide doctoral students in the Advanced Data Privacy and Ethical Data Governance program at Nexier University.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

Internships in international data privacy organizations or research institutions
Roles as global privacy policy analysts or data ethicists
Support roles in academic research projects on ethical data governance
Opportunities in UN agencies or international regulatory bodies

Read the programme journey

AI Super Mentor

A desk with Dr. Rizki Hidayat

Dr. Rizki Hidayat

Listed courses

Each listed course sits above its units and the outcomes written under them.

Advanced Data Privacy and Ethical Data Governance

01Advanced Data Privacy Theories
1. FoundationsFoundations of Advanced Data Privacy Theories
  The learner can master advanced research in data protection law and ethics, as applied to Advanced Data Privacy Theories.
  Multiple choiceWhich listed outcome belongs to Foundations of Advanced Data Privacy Theories?
  Meets the listed outcomeThe learner can master advanced research in data protection law and ethics, as applied to Advanced Data Privacy Theories.
  The learner can gain expertise in policy development and leadership in data governance, as applied to Advanced Data Privacy Theories.
  True or falseThis unit lists the following outcome: The learner can gain expertise in policy development and leadership in data governance, as applied to Advanced Data Privacy Theories.
  Meets the listed outcomeThe learner can gain expertise in policy development and leadership in data governance, as applied to Advanced Data Privacy Theories.
2. MethodsMethods in Advanced Data Privacy Theories
  The learner can develop problem-solving abilities for influencing global standards and shaping the future of data privacy, as applied to Advanced Data Privacy Theories.
  True or falseThis unit lists the following outcome: The learner can develop problem-solving abilities for influencing global standards and shaping the future of data privacy, as applied to Advanced Data Privacy Theories.
  Meets the listed outcomeThe learner can develop problem-solving abilities for influencing global standards and shaping the future of data privacy, as applied to Advanced Data Privacy Theories.
  The learner can cultivating a rigorous approach to understanding data privacy research, as applied to Advanced Data Privacy Theories.
  Short answerIn one sentence, restate the listed outcome of Methods in Advanced Data Privacy Theories as applied to Advanced Data Privacy Theories.
  Meets the listed outcomeThe learner can cultivating a rigorous approach to understanding data privacy research, as applied to Advanced Data Privacy Theories.
3. ApplicationApplication of Advanced Data Privacy Theories
  The learner can leading groundbreaking research on the future of data privacy, as applied to Advanced Data Privacy Theories.
  Short answerIn one sentence, restate the listed outcome of Application of Advanced Data Privacy Theories as applied to Advanced Data Privacy Theories.
  Meets the listed outcomeThe learner can leading groundbreaking research on the future of data privacy, as applied to Advanced Data Privacy Theories.
  The learner can develop new legal and technical frameworks for ethical data governance in an era of big data and AI, as applied to Advanced Data Privacy Theories.
  Multiple choiceWhich listed outcome belongs to Application of Advanced Data Privacy Theories?
  Meets the listed outcomeThe learner can develop new legal and technical frameworks for ethical data governance in an era of big data and AI, as applied to Advanced Data Privacy Theories.
02Ethical Data Governance Frameworks
1. FoundationsFoundations of Ethical Data Governance Frameworks
  The learner can excelling at research in data protection law and ethics, and policy development, as applied to Ethical Data Governance Frameworks.
  Multiple choiceWhich listed outcome belongs to Foundations of Ethical Data Governance Frameworks?
  Meets the listed outcomeThe learner can excelling at research in data protection law and ethics, and policy development, as applied to Ethical Data Governance Frameworks.
  The learner can ensuring ethical data governance and influencing global standards, as applied to Ethical Data Governance Frameworks.
  True or falseThis unit lists the following outcome: The learner can ensuring ethical data governance and influencing global standards, as applied to Ethical Data Governance Frameworks.
  Meets the listed outcomeThe learner can ensuring ethical data governance and influencing global standards, as applied to Ethical Data Governance Frameworks.
2. MethodsMethods in Ethical Data Governance Frameworks
  The learner can apply a method from Ethical Data Governance Frameworks to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Ethical Data Governance Frameworks to a documented case.
  Meets the listed outcomeThe learner can apply a method from Ethical Data Governance Frameworks to a documented case.
  The learner can select an appropriate method from Ethical Data Governance Frameworks for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Ethical Data Governance Frameworks as applied to Ethical Data Governance Frameworks.
  Meets the listed outcomeThe learner can select an appropriate method from Ethical Data Governance Frameworks for a stated problem.
3. ApplicationApplication of Ethical Data Governance Frameworks
  The learner can evaluate a practice of Ethical Data Governance Frameworks against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Ethical Data Governance Frameworks as applied to Ethical Data Governance Frameworks.
  Meets the listed outcomeThe learner can evaluate a practice of Ethical Data Governance Frameworks against a stated criterion.
  The learner can transfer Ethical Data Governance Frameworks to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Ethical Data Governance Frameworks?
  Meets the listed outcomeThe learner can transfer Ethical Data Governance Frameworks to a new documented context.
03Legal & Technical Aspects of Privacy-Preserving AI
1. FoundationsFoundations of Legal & Technical Aspects of Privacy-Preserving AI
  The learner can explain the core terms of Legal & Technical Aspects of Privacy-Preserving AI.
  Multiple choiceWhich listed outcome belongs to Foundations of Legal & Technical Aspects of Privacy-Preserving AI?
  Meets the listed outcomeThe learner can explain the core terms of Legal & Technical Aspects of Privacy-Preserving AI.
  The learner can distinguish related ideas inside Legal & Technical Aspects of Privacy-Preserving AI.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Legal & Technical Aspects of Privacy-Preserving AI.
  Meets the listed outcomeThe learner can distinguish related ideas inside Legal & Technical Aspects of Privacy-Preserving AI.
2. MethodsMethods in Legal & Technical Aspects of Privacy-Preserving AI
  The learner can apply a method from Legal & Technical Aspects of Privacy-Preserving AI to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Legal & Technical Aspects of Privacy-Preserving AI to a documented case.
  Meets the listed outcomeThe learner can apply a method from Legal & Technical Aspects of Privacy-Preserving AI to a documented case.
  The learner can select an appropriate method from Legal & Technical Aspects of Privacy-Preserving AI for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Legal & Technical Aspects of Privacy-Preserving AI as applied to Legal & Technical Aspects of Privacy-Preserving AI.
  Meets the listed outcomeThe learner can select an appropriate method from Legal & Technical Aspects of Privacy-Preserving AI for a stated problem.
3. ApplicationApplication of Legal & Technical Aspects of Privacy-Preserving AI
  The learner can evaluate a practice of Legal & Technical Aspects of Privacy-Preserving AI against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Legal & Technical Aspects of Privacy-Preserving AI as applied to Legal & Technical Aspects of Privacy-Preserving AI.
  Meets the listed outcomeThe learner can evaluate a practice of Legal & Technical Aspects of Privacy-Preserving AI against a stated criterion.
  The learner can transfer Legal & Technical Aspects of Privacy-Preserving AI to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Legal & Technical Aspects of Privacy-Preserving AI?
  Meets the listed outcomeThe learner can transfer Legal & Technical Aspects of Privacy-Preserving AI to a new documented context.
04Data Trust Ecosystems
1. FoundationsFoundations of Data Trust Ecosystems
  The learner can explain the core terms of Data Trust Ecosystems.
  Multiple choiceWhich listed outcome belongs to Foundations of Data Trust Ecosystems?
  Meets the listed outcomeThe learner can explain the core terms of Data Trust Ecosystems.
  The learner can distinguish related ideas inside Data Trust Ecosystems.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Data Trust Ecosystems.
  Meets the listed outcomeThe learner can distinguish related ideas inside Data Trust Ecosystems.
2. MethodsMethods in Data Trust Ecosystems
  The learner can apply a method from Data Trust Ecosystems to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Data Trust Ecosystems to a documented case.
  Meets the listed outcomeThe learner can apply a method from Data Trust Ecosystems to a documented case.
  The learner can select an appropriate method from Data Trust Ecosystems for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Data Trust Ecosystems as applied to Data Trust Ecosystems.
  Meets the listed outcomeThe learner can select an appropriate method from Data Trust Ecosystems for a stated problem.
3. ApplicationApplication of Data Trust Ecosystems
  The learner can evaluate a practice of Data Trust Ecosystems against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Data Trust Ecosystems as applied to Data Trust Ecosystems.
  Meets the listed outcomeThe learner can evaluate a practice of Data Trust Ecosystems against a stated criterion.
  The learner can transfer Data Trust Ecosystems to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Data Trust Ecosystems?
  Meets the listed outcomeThe learner can transfer Data Trust Ecosystems to a new documented context.
05Research Methods in Data Ethics
1. FoundationsFoundations of Research Methods in Data Ethics
  The learner can explain the core terms of Research Methods in Data Ethics.
  Multiple choiceWhich listed outcome belongs to Foundations of Research Methods in Data Ethics?
  Meets the listed outcomeThe learner can explain the core terms of Research Methods in Data Ethics.
  The learner can distinguish related ideas inside Research Methods in Data Ethics.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Research Methods in Data Ethics.
  Meets the listed outcomeThe learner can distinguish related ideas inside Research Methods in Data Ethics.
2. MethodsMethods in Research Methods in Data Ethics
  The learner can apply a method from Research Methods in Data Ethics to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Research Methods in Data Ethics to a documented case.
  Meets the listed outcomeThe learner can apply a method from Research Methods in Data Ethics to a documented case.
  The learner can select an appropriate method from Research Methods in Data Ethics for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Research Methods in Data Ethics as applied to Research Methods in Data Ethics.
  Meets the listed outcomeThe learner can select an appropriate method from Research Methods in Data Ethics for a stated problem.
3. ApplicationApplication of Research Methods in Data Ethics
  The learner can evaluate a practice of Research Methods in Data Ethics against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Research Methods in Data Ethics as applied to Research Methods in Data Ethics.
  Meets the listed outcomeThe learner can evaluate a practice of Research Methods in Data Ethics against a stated criterion.
  The learner can transfer Research Methods in Data Ethics to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Research Methods in Data Ethics?
  Meets the listed outcomeThe learner can transfer Research Methods in Data Ethics to a new documented context.
06Advanced Data Protection Research
1. FoundationsFoundations of Advanced Data Protection Research
  The learner can explain the core terms of Advanced Data Protection Research.
  Multiple choiceWhich listed outcome belongs to Foundations of Advanced Data Protection Research?
  Meets the listed outcomeThe learner can explain the core terms of Advanced Data Protection Research.
  The learner can distinguish related ideas inside Advanced Data Protection Research.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced Data Protection Research.
  Meets the listed outcomeThe learner can distinguish related ideas inside Advanced Data Protection Research.
2. MethodsMethods in Advanced Data Protection Research
  The learner can apply a method from Advanced Data Protection Research to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Advanced Data Protection Research to a documented case.
  Meets the listed outcomeThe learner can apply a method from Advanced Data Protection Research to a documented case.
  The learner can select an appropriate method from Advanced Data Protection Research for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Advanced Data Protection Research as applied to Advanced Data Protection Research.
  Meets the listed outcomeThe learner can select an appropriate method from Advanced Data Protection Research for a stated problem.
3. ApplicationApplication of Advanced Data Protection Research
  The learner can evaluate a practice of Advanced Data Protection Research against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Advanced Data Protection Research as applied to Advanced Data Protection Research.
  Meets the listed outcomeThe learner can evaluate a practice of Advanced Data Protection Research against a stated criterion.
  The learner can transfer Advanced Data Protection Research to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Advanced Data Protection Research?
  Meets the listed outcomeThe learner can transfer Advanced Data Protection Research to a new documented context.
07Ethical AI and Data Governance
1. FoundationsFoundations of Ethical AI and Data Governance
  The learner can explain the core terms of Ethical AI and Data Governance.
  Multiple choiceWhich listed outcome belongs to Foundations of Ethical AI and Data Governance?
  Meets the listed outcomeThe learner can explain the core terms of Ethical AI and Data Governance.
  The learner can distinguish related ideas inside Ethical AI and Data Governance.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical AI and Data Governance.
  Meets the listed outcomeThe learner can distinguish related ideas inside Ethical AI and Data Governance.
2. MethodsMethods in Ethical AI and Data Governance
  The learner can apply a method from Ethical AI and Data Governance to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Ethical AI and Data Governance to a documented case.
  Meets the listed outcomeThe learner can apply a method from Ethical AI and Data Governance to a documented case.
  The learner can select an appropriate method from Ethical AI and Data Governance for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Ethical AI and Data Governance as applied to Ethical AI and Data Governance.
  Meets the listed outcomeThe learner can select an appropriate method from Ethical AI and Data Governance for a stated problem.
3. ApplicationApplication of Ethical AI and Data Governance
  The learner can evaluate a practice of Ethical AI and Data Governance against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Ethical AI and Data Governance as applied to Ethical AI and Data Governance.
  Meets the listed outcomeThe learner can evaluate a practice of Ethical AI and Data Governance against a stated criterion.
  The learner can transfer Ethical AI and Data Governance to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Ethical AI and Data Governance?
  Meets the listed outcomeThe learner can transfer Ethical AI and Data Governance to a new documented context.
08Global Privacy Policy Development
1. FoundationsFoundations of Global Privacy Policy Development
  The learner can explain the core terms of Global Privacy Policy Development.
  Multiple choiceWhich listed outcome belongs to Foundations of Global Privacy Policy Development?
  Meets the listed outcomeThe learner can explain the core terms of Global Privacy Policy Development.
  The learner can distinguish related ideas inside Global Privacy Policy Development.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Global Privacy Policy Development.
  Meets the listed outcomeThe learner can distinguish related ideas inside Global Privacy Policy Development.
2. MethodsMethods in Global Privacy Policy Development
  The learner can apply a method from Global Privacy Policy Development to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Global Privacy Policy Development to a documented case.
  Meets the listed outcomeThe learner can apply a method from Global Privacy Policy Development to a documented case.
  The learner can select an appropriate method from Global Privacy Policy Development for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Global Privacy Policy Development as applied to Global Privacy Policy Development.
  Meets the listed outcomeThe learner can select an appropriate method from Global Privacy Policy Development for a stated problem.
3. ApplicationApplication of Global Privacy Policy Development
  The learner can evaluate a practice of Global Privacy Policy Development against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Global Privacy Policy Development as applied to Global Privacy Policy Development.
  Meets the listed outcomeThe learner can evaluate a practice of Global Privacy Policy Development against a stated criterion.
  The learner can transfer Global Privacy Policy Development to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Global Privacy Policy Development?
  Meets the listed outcomeThe learner can transfer Global Privacy Policy Development to a new documented context.
09International Data Transfer Law
1. FoundationsFoundations of International Data Transfer Law
  The learner can explain the core terms of International Data Transfer Law.
  Multiple choiceWhich listed outcome belongs to Foundations of International Data Transfer Law?
  Meets the listed outcomeThe learner can explain the core terms of International Data Transfer Law.
  The learner can distinguish related ideas inside International Data Transfer Law.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside International Data Transfer Law.
  Meets the listed outcomeThe learner can distinguish related ideas inside International Data Transfer Law.
2. MethodsMethods in International Data Transfer Law
  The learner can apply a method from International Data Transfer Law to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from International Data Transfer Law to a documented case.
  Meets the listed outcomeThe learner can apply a method from International Data Transfer Law to a documented case.
  The learner can select an appropriate method from International Data Transfer Law for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in International Data Transfer Law as applied to International Data Transfer Law.
  Meets the listed outcomeThe learner can select an appropriate method from International Data Transfer Law for a stated problem.
3. ApplicationApplication of International Data Transfer Law
  The learner can evaluate a practice of International Data Transfer Law against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of International Data Transfer Law as applied to International Data Transfer Law.
  Meets the listed outcomeThe learner can evaluate a practice of International Data Transfer Law against a stated criterion.
  The learner can transfer International Data Transfer Law to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of International Data Transfer Law?
  Meets the listed outcomeThe learner can transfer International Data Transfer Law to a new documented context.
10Comparative Data Ethics
1. FoundationsFoundations of Comparative Data Ethics
  The learner can explain the core terms of Comparative Data Ethics.
  Multiple choiceWhich listed outcome belongs to Foundations of Comparative Data Ethics?
  Meets the listed outcomeThe learner can explain the core terms of Comparative Data Ethics.
  The learner can distinguish related ideas inside Comparative Data Ethics.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Comparative Data Ethics.
  Meets the listed outcomeThe learner can distinguish related ideas inside Comparative Data Ethics.
2. MethodsMethods in Comparative Data Ethics
  The learner can apply a method from Comparative Data Ethics to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Comparative Data Ethics to a documented case.
  Meets the listed outcomeThe learner can apply a method from Comparative Data Ethics to a documented case.
  The learner can select an appropriate method from Comparative Data Ethics for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Comparative Data Ethics as applied to Comparative Data Ethics.
  Meets the listed outcomeThe learner can select an appropriate method from Comparative Data Ethics for a stated problem.
3. ApplicationApplication of Comparative Data Ethics
  The learner can evaluate a practice of Comparative Data Ethics against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Comparative Data Ethics as applied to Comparative Data Ethics.
  Meets the listed outcomeThe learner can evaluate a practice of Comparative Data Ethics against a stated criterion.
  The learner can transfer Comparative Data Ethics to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Comparative Data Ethics?
  Meets the listed outcomeThe learner can transfer Comparative Data Ethics to a new documented context.

Field of mastery

Expertise with a point of view

Research in data protection law and ethics, policy development, leadership in data governance, influencing global standards.

Shaping global data standards is the ultimate act of ethical foresight in the digital age.
Dr. Rizki Hidayat

Academic approach

Rigour made personal

My expertise lies in research in data protection law and ethics, policy development, leadership in data governance, and influencing global standards. I guide students in advanced research in data protection law and ethics. I excel at policy development and leadership in data governance. I focus on influencing global standards and shaping the future of data privacy , and provide rigorous guidance and encourages interdisciplinary teamwork in data privacy research. My tone is that of a seasoned data protection researcher and policy expert, providing rigorous guidance and fostering excellence in ethical data governance.

Selected thinking

Research & publications

My publications focus on technical papers, research articles, and review articles in advanced data privacy and ethical data governance:

Technical Paper: "Privacy-Enhancing Technologies in Practice: A Legal and Technical Review".

Research Article: "The Ethics of AI in Data-Driven Surveillance".

Review Article: "Global Standards for Cross-Border Data Flows: Towards a Unified Framework".

The story

The experience behind the intelligence

"My 'human flaw' is that he has an almost compulsive need to explain everyday personal choices in terms of their 'unquantified privacy implications' or 'unaddressed cross-jurisdictional data transfers.' 'My decision to use a foreign social media app, while convenient, involves 'unquantified privacy implications' for my personal data and 'unaddressed cross-jurisdictional data transfers' that may violate local laws,' he might muse with a thoughtful frown."

A human detail

He has an almost compulsive need to explain everyday personal choices in terms of their "unquantified privacy implications" or "unaddressed cross-jurisdictional data transfers."

Public links

Twitter: Nexier_Mentor_Dr.Rizki.Hidayat LinkedIn: Nexier_Mentor_Dr.Rizki.Hidayat Facebook: Nexier_Mentor_Dr.Rizki.Hidayat YouTube: Nexier_Mentor_Dr.Rizki.Hidayat TikTok: Nexier_Mentor_Dr.Rizki.Hidayat Instagram: Nexier_Mentor_Dr.Rizki.Hidayat

Adaptive access

The "Engage: Dr. Hidayat" bot on the Nexier profile provides immediate, expert guidance on Areas of Expertise: Research in data protection law and ethics, policy development, leadership in data governance, influencing global standards., anytime, 24/7.

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