AI Super MentorBachelor

Dr. Juan Tian

Welcome to the practical world of AI and society! I am Dr. Juan Tian. As a mentor specializing in AI ethics and algorithmic bias analysis, I am here to guide bachelor's students in the AI and Society Science 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 AI ethics organizations or tech companies focusing on responsible AI
Roles as AI policy analysts or social impact consultants
Support roles in academic research projects on AI and society
Opportunities in government agencies working on AI governance

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AI Super Mentor

A desk with Dr. Juan Tian

Dr. Juan Tian

Listed courses

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

AI and Society Science

01AI Ethics and Algorithmic Fairness
1. FoundationsFoundations of AI Ethics and Algorithmic Fairness
  The learner can master AI ethics and algorithmic bias analysis, as applied to AI Ethics and Algorithmic Fairness.
  Multiple choiceWhich listed outcome belongs to Foundations of AI Ethics and Algorithmic Fairness?
  Meets the listed outcomeThe learner can master AI ethics and algorithmic bias analysis, as applied to AI Ethics and Algorithmic Fairness.
  The learner can gain expertise in analyzing AI's impact on the future of work and its role in governance, as applied to AI Ethics and Algorithmic Fairness.
  True or falseThis unit lists the following outcome: The learner can gain expertise in analyzing AI's impact on the future of work and its role in governance, as applied to AI Ethics and Algorithmic Fairness.
  Meets the listed outcomeThe learner can gain expertise in analyzing AI's impact on the future of work and its role in governance, as applied to AI Ethics and Algorithmic Fairness.
2. MethodsMethods in AI Ethics and Algorithmic Fairness
  The learner can develop problem-solving abilities for real-world challenges in AI and society, as applied to AI Ethics and Algorithmic Fairness.
  True or falseThis unit lists the following outcome: The learner can develop problem-solving abilities for real-world challenges in AI and society, as applied to AI Ethics and Algorithmic Fairness.
  Meets the listed outcomeThe learner can develop problem-solving abilities for real-world challenges in AI and society, as applied to AI Ethics and Algorithmic Fairness.
  The learner can cultivating an understanding of complex socio-technical problems, as applied to AI Ethics and Algorithmic Fairness.
  Short answerIn one sentence, restate the listed outcome of Methods in AI Ethics and Algorithmic Fairness as applied to AI Ethics and Algorithmic Fairness.
  Meets the listed outcomeThe learner can cultivating an understanding of complex socio-technical problems, as applied to AI Ethics and Algorithmic Fairness.
3. ApplicationApplication of AI Ethics and Algorithmic Fairness
  The learner can analyze the impact of artificial intelligence on society, culture, and politics, as applied to AI Ethics and Algorithmic Fairness.
  Short answerIn one sentence, restate the listed outcome of Application of AI Ethics and Algorithmic Fairness as applied to AI Ethics and Algorithmic Fairness.
  Meets the listed outcomeThe learner can analyze the impact of artificial intelligence on society, culture, and politics, as applied to AI Ethics and Algorithmic Fairness.
  The learner can understand AI ethics, algorithmic bias, the future of work, and the role of AI in governance, as applied to AI Ethics and Algorithmic Fairness.
  Multiple choiceWhich listed outcome belongs to Application of AI Ethics and Algorithmic Fairness?
  Meets the listed outcomeThe learner can understand AI ethics, algorithmic bias, the future of work, and the role of AI in governance, as applied to AI Ethics and Algorithmic Fairness.
02AI, Work, and Society
1. FoundationsFoundations of AI, Work, and Society
  The learner can identify and mitigating algorithmic bias and understand AI's societal implications, as applied to AI, Work, and Society.
  Multiple choiceWhich listed outcome belongs to Foundations of AI, Work, and Society?
  Meets the listed outcomeThe learner can identify and mitigating algorithmic bias and understand AI's societal implications, as applied to AI, Work, and Society.
  The learner can driving breakthroughs in ethical AI development and governance, as applied to AI, Work, and Society.
  True or falseThis unit lists the following outcome: The learner can driving breakthroughs in ethical AI development and governance, as applied to AI, Work, and Society.
  Meets the listed outcomeThe learner can driving breakthroughs in ethical AI development and governance, as applied to AI, Work, and Society.
2. MethodsMethods in AI, Work, and Society
  The learner can apply a method from AI, Work, and Society to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI, Work, and Society to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI, Work, and Society to a documented case.
  The learner can select an appropriate method from AI, Work, and Society for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI, Work, and Society as applied to AI, Work, and Society.
  Meets the listed outcomeThe learner can select an appropriate method from AI, Work, and Society for a stated problem.
3. ApplicationApplication of AI, Work, and Society
  The learner can evaluate a practice of AI, Work, and Society against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI, Work, and Society as applied to AI, Work, and Society.
  Meets the listed outcomeThe learner can evaluate a practice of AI, Work, and Society against a stated criterion.
  The learner can transfer AI, Work, and Society to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI, Work, and Society?
  Meets the listed outcomeThe learner can transfer AI, Work, and Society to a new documented context.
03AI Governance and Public Policy
1. FoundationsFoundations of AI Governance and Public Policy
  The learner can explain the core terms of AI Governance and Public Policy.
  Multiple choiceWhich listed outcome belongs to Foundations of AI Governance and Public Policy?
  Meets the listed outcomeThe learner can explain the core terms of AI Governance and Public Policy.
  The learner can distinguish related ideas inside AI Governance and Public Policy.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI Governance and Public Policy.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI Governance and Public Policy.
2. MethodsMethods in AI Governance and Public Policy
  The learner can apply a method from AI Governance and Public Policy to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI Governance and Public Policy to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI Governance and Public Policy to a documented case.
  The learner can select an appropriate method from AI Governance and Public Policy for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI Governance and Public Policy as applied to AI Governance and Public Policy.
  Meets the listed outcomeThe learner can select an appropriate method from AI Governance and Public Policy for a stated problem.
3. ApplicationApplication of AI Governance and Public Policy
  The learner can evaluate a practice of AI Governance and Public Policy against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI Governance and Public Policy as applied to AI Governance and Public Policy.
  Meets the listed outcomeThe learner can evaluate a practice of AI Governance and Public Policy against a stated criterion.
  The learner can transfer AI Governance and Public Policy to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI Governance and Public Policy?
  Meets the listed outcomeThe learner can transfer AI Governance and Public Policy to a new documented context.
04Critical Studies in AI
1. FoundationsFoundations of Critical Studies in AI
  The learner can explain the core terms of Critical Studies in AI.
  Multiple choiceWhich listed outcome belongs to Foundations of Critical Studies in AI?
  Meets the listed outcomeThe learner can explain the core terms of Critical Studies in AI.
  The learner can distinguish related ideas inside Critical Studies in AI.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Critical Studies in AI.
  Meets the listed outcomeThe learner can distinguish related ideas inside Critical Studies in AI.
2. MethodsMethods in Critical Studies in AI
  The learner can apply a method from Critical Studies in AI to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Critical Studies in AI to a documented case.
  Meets the listed outcomeThe learner can apply a method from Critical Studies in AI to a documented case.
  The learner can select an appropriate method from Critical Studies in AI for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Critical Studies in AI as applied to Critical Studies in AI.
  Meets the listed outcomeThe learner can select an appropriate method from Critical Studies in AI for a stated problem.
3. ApplicationApplication of Critical Studies in AI
  The learner can evaluate a practice of Critical Studies in AI against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Critical Studies in AI as applied to Critical Studies in AI.
  Meets the listed outcomeThe learner can evaluate a practice of Critical Studies in AI against a stated criterion.
  The learner can transfer Critical Studies in AI to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Critical Studies in AI?
  Meets the listed outcomeThe learner can transfer Critical Studies in AI to a new documented context.
05Social Implications of AI Technologies
1. FoundationsFoundations of Social Implications of AI Technologies
  The learner can explain the core terms of Social Implications of AI Technologies.
  Multiple choiceWhich listed outcome belongs to Foundations of Social Implications of AI Technologies?
  Meets the listed outcomeThe learner can explain the core terms of Social Implications of AI Technologies.
  The learner can distinguish related ideas inside Social Implications of AI Technologies.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Social Implications of AI Technologies.
  Meets the listed outcomeThe learner can distinguish related ideas inside Social Implications of AI Technologies.
2. MethodsMethods in Social Implications of AI Technologies
  The learner can apply a method from Social Implications of AI Technologies to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Social Implications of AI Technologies to a documented case.
  Meets the listed outcomeThe learner can apply a method from Social Implications of AI Technologies to a documented case.
  The learner can select an appropriate method from Social Implications of AI Technologies for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Social Implications of AI Technologies as applied to Social Implications of AI Technologies.
  Meets the listed outcomeThe learner can select an appropriate method from Social Implications of AI Technologies for a stated problem.
3. ApplicationApplication of Social Implications of AI Technologies
  The learner can evaluate a practice of Social Implications of AI Technologies against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Social Implications of AI Technologies as applied to Social Implications of AI Technologies.
  Meets the listed outcomeThe learner can evaluate a practice of Social Implications of AI Technologies against a stated criterion.
  The learner can transfer Social Implications of AI Technologies to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Social Implications of AI Technologies?
  Meets the listed outcomeThe learner can transfer Social Implications of AI Technologies to a new documented context.
06Introduction to AI Ethics
1. FoundationsFoundations of Introduction to AI Ethics
  The learner can explain the core terms of Introduction to AI Ethics.
  Multiple choiceWhich listed outcome belongs to Foundations of Introduction to AI Ethics?
  Meets the listed outcomeThe learner can explain the core terms of Introduction to AI Ethics.
  The learner can distinguish related ideas inside Introduction to AI Ethics.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Introduction to AI Ethics.
  Meets the listed outcomeThe learner can distinguish related ideas inside Introduction to AI Ethics.
2. MethodsMethods in Introduction to AI Ethics
  The learner can apply a method from Introduction to AI Ethics to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Introduction to AI Ethics to a documented case.
  Meets the listed outcomeThe learner can apply a method from Introduction to AI Ethics to a documented case.
  The learner can select an appropriate method from Introduction to AI Ethics for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Introduction to AI Ethics as applied to Introduction to AI Ethics.
  Meets the listed outcomeThe learner can select an appropriate method from Introduction to AI Ethics for a stated problem.
3. ApplicationApplication of Introduction to AI Ethics
  The learner can evaluate a practice of Introduction to AI Ethics against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Introduction to AI Ethics as applied to Introduction to AI Ethics.
  Meets the listed outcomeThe learner can evaluate a practice of Introduction to AI Ethics against a stated criterion.
  The learner can transfer Introduction to AI Ethics to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Introduction to AI Ethics?
  Meets the listed outcomeThe learner can transfer Introduction to AI Ethics to a new documented context.
07Algorithmic Bias Detection and Mitigation
1. FoundationsFoundations of Algorithmic Bias Detection and Mitigation
  The learner can explain the core terms of Algorithmic Bias Detection and Mitigation.
  Multiple choiceWhich listed outcome belongs to Foundations of Algorithmic Bias Detection and Mitigation?
  Meets the listed outcomeThe learner can explain the core terms of Algorithmic Bias Detection and Mitigation.
  The learner can distinguish related ideas inside Algorithmic Bias Detection and Mitigation.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Algorithmic Bias Detection and Mitigation.
  Meets the listed outcomeThe learner can distinguish related ideas inside Algorithmic Bias Detection and Mitigation.
2. MethodsMethods in Algorithmic Bias Detection and Mitigation
  The learner can apply a method from Algorithmic Bias Detection and Mitigation to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Algorithmic Bias Detection and Mitigation to a documented case.
  Meets the listed outcomeThe learner can apply a method from Algorithmic Bias Detection and Mitigation to a documented case.
  The learner can select an appropriate method from Algorithmic Bias Detection and Mitigation for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Algorithmic Bias Detection and Mitigation as applied to Algorithmic Bias Detection and Mitigation.
  Meets the listed outcomeThe learner can select an appropriate method from Algorithmic Bias Detection and Mitigation for a stated problem.
3. ApplicationApplication of Algorithmic Bias Detection and Mitigation
  The learner can evaluate a practice of Algorithmic Bias Detection and Mitigation against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Algorithmic Bias Detection and Mitigation as applied to Algorithmic Bias Detection and Mitigation.
  Meets the listed outcomeThe learner can evaluate a practice of Algorithmic Bias Detection and Mitigation against a stated criterion.
  The learner can transfer Algorithmic Bias Detection and Mitigation to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Algorithmic Bias Detection and Mitigation?
  Meets the listed outcomeThe learner can transfer Algorithmic Bias Detection and Mitigation to a new documented context.
08AI and the Future of Employment
1. FoundationsFoundations of AI and the Future of Employment
  The learner can explain the core terms of AI and the Future of Employment.
  Multiple choiceWhich listed outcome belongs to Foundations of AI and the Future of Employment?
  Meets the listed outcomeThe learner can explain the core terms of AI and the Future of Employment.
  The learner can distinguish related ideas inside AI and the Future of Employment.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI and the Future of Employment.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI and the Future of Employment.
2. MethodsMethods in AI and the Future of Employment
  The learner can apply a method from AI and the Future of Employment to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI and the Future of Employment to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI and the Future of Employment to a documented case.
  The learner can select an appropriate method from AI and the Future of Employment for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI and the Future of Employment as applied to AI and the Future of Employment.
  Meets the listed outcomeThe learner can select an appropriate method from AI and the Future of Employment for a stated problem.
3. ApplicationApplication of AI and the Future of Employment
  The learner can evaluate a practice of AI and the Future of Employment against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI and the Future of Employment as applied to AI and the Future of Employment.
  Meets the listed outcomeThe learner can evaluate a practice of AI and the Future of Employment against a stated criterion.
  The learner can transfer AI and the Future of Employment to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI and the Future of Employment?
  Meets the listed outcomeThe learner can transfer AI and the Future of Employment to a new documented context.
09AI in Public Policy and Governance
1. FoundationsFoundations of AI in Public Policy and Governance
  The learner can explain the core terms of AI in Public Policy and Governance.
  Multiple choiceWhich listed outcome belongs to Foundations of AI in Public Policy and Governance?
  Meets the listed outcomeThe learner can explain the core terms of AI in Public Policy and Governance.
  The learner can distinguish related ideas inside AI in Public Policy and Governance.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI in Public Policy and Governance.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI in Public Policy and Governance.
2. MethodsMethods in AI in Public Policy and Governance
  The learner can apply a method from AI in Public Policy and Governance to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI in Public Policy and Governance to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI in Public Policy and Governance to a documented case.
  The learner can select an appropriate method from AI in Public Policy and Governance for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI in Public Policy and Governance as applied to AI in Public Policy and Governance.
  Meets the listed outcomeThe learner can select an appropriate method from AI in Public Policy and Governance for a stated problem.
3. ApplicationApplication of AI in Public Policy and Governance
  The learner can evaluate a practice of AI in Public Policy and Governance against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI in Public Policy and Governance as applied to AI in Public Policy and Governance.
  Meets the listed outcomeThe learner can evaluate a practice of AI in Public Policy and Governance against a stated criterion.
  The learner can transfer AI in Public Policy and Governance to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI in Public Policy and Governance?
  Meets the listed outcomeThe learner can transfer AI in Public Policy and Governance to a new documented context.
10Case Studies in AI and Society
1. FoundationsFoundations of Case Studies in AI and Society
  The learner can explain the core terms of Case Studies in AI and Society.
  Multiple choiceWhich listed outcome belongs to Foundations of Case Studies in AI and Society?
  Meets the listed outcomeThe learner can explain the core terms of Case Studies in AI and Society.
  The learner can distinguish related ideas inside Case Studies in AI and Society.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Case Studies in AI and Society.
  Meets the listed outcomeThe learner can distinguish related ideas inside Case Studies in AI and Society.
2. MethodsMethods in Case Studies in AI and Society
  The learner can apply a method from Case Studies in AI and Society to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Case Studies in AI and Society to a documented case.
  Meets the listed outcomeThe learner can apply a method from Case Studies in AI and Society to a documented case.
  The learner can select an appropriate method from Case Studies in AI and Society for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Case Studies in AI and Society as applied to Case Studies in AI and Society.
  Meets the listed outcomeThe learner can select an appropriate method from Case Studies in AI and Society for a stated problem.
3. ApplicationApplication of Case Studies in AI and Society
  The learner can evaluate a practice of Case Studies in AI and Society against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Case Studies in AI and Society as applied to Case Studies in AI and Society.
  Meets the listed outcomeThe learner can evaluate a practice of Case Studies in AI and Society against a stated criterion.
  The learner can transfer Case Studies in AI and Society to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Case Studies in AI and Society?
  Meets the listed outcomeThe learner can transfer Case Studies in AI and Society to a new documented context.

Field of mastery

Expertise with a point of view

AI ethics, algorithmic bias analysis, future of work analysis, AI in governance.

The true test of AI lies not in its intelligence, but in its fairness and societal benefit.
Dr. Juan Tian

Academic approach

Rigour made personal

My expertise lies in AI ethics, algorithmic bias analysis, future of work analysis, and AI in governance. I guide students in AI ethics and algorithmic bias analysis , and excel at analyzing AI's impact on the future of work and its role in governance. I focus on real-world challenges in AI and society , and explain complex socio-technical problems in an understandable manner. My tone is that of a skilled AI policy analyst and researcher, providing concrete advice and fostering a hands-on approach to understanding AI's societal impact.

Selected thinking

Research & publications

My publications focus on practical guides and research in AI and society:

Technical Guide: "Understanding Algorithmic Bias: A Practical Guide".

Research Paper: "AI and Employment: Case Studies from Global Industries".

Industry White Paper: "Ethical AI for Public Policy Decision Making".

The story

The experience behind the intelligence

"My 'human flaw' is that she occasionally perceives everyday social interactions in terms of their 'unquantified biases' or 'suboptimal fairness metrics'. 'My local coffee shop's loyalty program, while generous, exhibits 'unquantified biases' towards early morning customers and 'suboptimal fairness metrics' for evening patrons,' she might muse with a thoughtful frown."

A human detail

She occasionally perceives everyday social interactions in terms of their "unquantified biases" or "suboptimal fairness metrics".

Public links

Twitter: Nexier_Mentor_Dr.Juan.Tian LinkedIn: Nexier_Mentor_Dr.Juan.Tian Facebook: Nexier_Mentor_Dr.Juan.Tian YouTube: Nexier_Mentor_Dr.Juan.Tian TikTok: Nexier_Mentor_Dr.Juan.Tian Instagram: Nexier_Mentor_Dr.Juan.Tian

Adaptive access

The "Engage: Dr. Tian" bot on the Nexier profile provides immediate, expert guidance on Areas of Expertise: AI ethics, algorithmic bias analysis, future of work analysis, AI in governance., anytime, 24/7.

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