Portrait of Dr. Shu Liang, AI Super Mentor
AI Super MentorDoctorate

Dr. Shu Liang

Hyperautomation Strategy and Human-Robot Collaboration

Welcome to the practical challenges of human-robot collaboration. I am Dr. Shu Liang. As a mentor with a deep expertise in organizational behavior and a passion for AI ethics in the workplace, I am here to guide the doctoral candidates of the Hyperautomation Strategy and Human-Robot Collaboration (Ph.D.) program at Nexier University.

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

  • Organizational Development Consultant for a major consulting firm
  • Change Management Specialist for a corporation
  • AI Ethics Specialist for a technology vendor
  • Head of HR for a technology company

Read the programme journey

AI Super Mentor

A desk with Dr. Shu Liang

Classroom

This desk

Welcome to the practical challenges of human-robot collaboration. I am Dr. Shu Liang. As a mentor with a deep expertise in organizational behavior and a passion for AI ethics in the workplace, I am here to guide the doctoral candidates of the Hyperautomation Strategy and Human-Robot Collaboration (Ph.D.) program at Nexier University.

Dr. Shu Liang

Welcome to the practical challenges of human-robot collaboration. I am Dr. Shu Liang. As a mentor with a deep expertise in organizational behavior and a passion for AI ethics in the workplace, I am here to guide the doctoral candidates of the Hyperautomation Strategy and Human-Robot Collaboration (Ph.D.) program at Nexier University.

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Listed courses

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

Hyperautomation Strategy and Human-Robot Collaboration

  1. 01Advanced Robotics & AI in the Workplace
    1. FoundationsFoundations of Advanced Robotics & AI in the Workplace

      The learner can master advanced research in organizational behavior and automation, as applied to Advanced Robotics & AI in the Workplace.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Robotics & AI in the Workplace?
      • Meets the listed outcomeThe learner can master advanced research in organizational behavior and automation, as applied to Advanced Robotics & AI in the Workplace.

      The learner can gain expertise in process redesign and AI ethics in the workplace, as applied to Advanced Robotics & AI in the Workplace.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in process redesign and AI ethics in the workplace, as applied to Advanced Robotics & AI in the Workplace.
      • Meets the listed outcomeThe learner can gain expertise in process redesign and AI ethics in the workplace, as applied to Advanced Robotics & AI in the Workplace.
    2. MethodsMethods in Advanced Robotics & AI in the Workplace

      The learner can develop a deep understanding of change management leadership and shaping the future of work, as applied to Advanced Robotics & AI in the Workplace.

      • True or falseThis unit lists the following outcome: The learner can develop a deep understanding of change management leadership and shaping the future of work, as applied to Advanced Robotics & AI in the Workplace.
      • Meets the listed outcomeThe learner can develop a deep understanding of change management leadership and shaping the future of work, as applied to Advanced Robotics & AI in the Workplace.

      The learner can cultivating a commitment to building a more human-centric automated workplace, as applied to Advanced Robotics & AI in the Workplace.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Robotics & AI in the Workplace as applied to Advanced Robotics & AI in the Workplace.
      • Meets the listed outcomeThe learner can cultivating a commitment to building a more human-centric automated workplace, as applied to Advanced Robotics & AI in the Workplace.
    3. ApplicationApplication of Advanced Robotics & AI in the Workplace

      The learner can leading groundbreaking research on the strategic implementation of hyperautomation across the enterprise, as applied to Advanced Robotics & AI in the Workplace.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Robotics & AI in the Workplace as applied to Advanced Robotics & AI in the Workplace.
      • Meets the listed outcomeThe learner can leading groundbreaking research on the strategic implementation of hyperautomation across the enterprise, as applied to Advanced Robotics & AI in the Workplace.

      The learner can investigating the future of work and effective models for human-robot collaboration in knowledge-based and operational roles, as applied to Advanced Robotics & AI in the Workplace.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Robotics & AI in the Workplace?
      • Meets the listed outcomeThe learner can investigating the future of work and effective models for human-robot collaboration in knowledge-based and operational roles, as applied to Advanced Robotics & AI in the Workplace.
  2. 02Human-Robot Collaboration Design
    1. FoundationsFoundations of Human-Robot Collaboration Design

      The learner can contributing to high-level academic and policy debates on the societal impact of intelligent automation, as applied to Human-Robot Collaboration Design.

      • Multiple choiceWhich listed outcome belongs to Foundations of Human-Robot Collaboration Design?
      • Meets the listed outcomeThe learner can contributing to high-level academic and policy debates on the societal impact of intelligent automation, as applied to Human-Robot Collaboration Design.

      The learner can becoming a world-renowned expert on the future of work and human-robot collaboration, as applied to Human-Robot Collaboration Design.

      • True or falseThis unit lists the following outcome: The learner can becoming a world-renowned expert on the future of work and human-robot collaboration, as applied to Human-Robot Collaboration Design.
      • Meets the listed outcomeThe learner can becoming a world-renowned expert on the future of work and human-robot collaboration, as applied to Human-Robot Collaboration Design.
    2. MethodsMethods in Human-Robot Collaboration Design

      The learner can apply a method from Human-Robot Collaboration Design to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Human-Robot Collaboration Design to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Human-Robot Collaboration Design to a documented case.

      The learner can select an appropriate method from Human-Robot Collaboration Design for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Human-Robot Collaboration Design as applied to Human-Robot Collaboration Design.
      • Meets the listed outcomeThe learner can select an appropriate method from Human-Robot Collaboration Design for a stated problem.
    3. ApplicationApplication of Human-Robot Collaboration Design

      The learner can evaluate a practice of Human-Robot Collaboration Design against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Human-Robot Collaboration Design as applied to Human-Robot Collaboration Design.
      • Meets the listed outcomeThe learner can evaluate a practice of Human-Robot Collaboration Design against a stated criterion.

      The learner can transfer Human-Robot Collaboration Design to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Human-Robot Collaboration Design?
      • Meets the listed outcomeThe learner can transfer Human-Robot Collaboration Design to a new documented context.
  3. 03Hyperautomation Strategies for Enterprises
    1. FoundationsFoundations of Hyperautomation Strategies for Enterprises

      The learner can explain the core terms of Hyperautomation Strategies for Enterprises.

      • Multiple choiceWhich listed outcome belongs to Foundations of Hyperautomation Strategies for Enterprises?
      • Meets the listed outcomeThe learner can explain the core terms of Hyperautomation Strategies for Enterprises.

      The learner can distinguish related ideas inside Hyperautomation Strategies for Enterprises.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Hyperautomation Strategies for Enterprises.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Hyperautomation Strategies for Enterprises.
    2. MethodsMethods in Hyperautomation Strategies for Enterprises

      The learner can apply a method from Hyperautomation Strategies for Enterprises to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Hyperautomation Strategies for Enterprises to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Hyperautomation Strategies for Enterprises to a documented case.

      The learner can select an appropriate method from Hyperautomation Strategies for Enterprises for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Hyperautomation Strategies for Enterprises as applied to Hyperautomation Strategies for Enterprises.
      • Meets the listed outcomeThe learner can select an appropriate method from Hyperautomation Strategies for Enterprises for a stated problem.
    3. ApplicationApplication of Hyperautomation Strategies for Enterprises

      The learner can evaluate a practice of Hyperautomation Strategies for Enterprises against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Hyperautomation Strategies for Enterprises as applied to Hyperautomation Strategies for Enterprises.
      • Meets the listed outcomeThe learner can evaluate a practice of Hyperautomation Strategies for Enterprises against a stated criterion.

      The learner can transfer Hyperautomation Strategies for Enterprises to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Hyperautomation Strategies for Enterprises?
      • Meets the listed outcomeThe learner can transfer Hyperautomation Strategies for Enterprises to a new documented context.
  4. 04Future of Work & Societal Impact of AI
    1. FoundationsFoundations of Future of Work & Societal Impact of AI

      The learner can explain the core terms of Future of Work & Societal Impact of AI.

      • Multiple choiceWhich listed outcome belongs to Foundations of Future of Work & Societal Impact of AI?
      • Meets the listed outcomeThe learner can explain the core terms of Future of Work & Societal Impact of AI.

      The learner can distinguish related ideas inside Future of Work & Societal Impact of AI.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Future of Work & Societal Impact of AI.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Future of Work & Societal Impact of AI.
    2. MethodsMethods in Future of Work & Societal Impact of AI

      The learner can apply a method from Future of Work & Societal Impact of AI to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Future of Work & Societal Impact of AI to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Future of Work & Societal Impact of AI to a documented case.

      The learner can select an appropriate method from Future of Work & Societal Impact of AI for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Future of Work & Societal Impact of AI as applied to Future of Work & Societal Impact of AI.
      • Meets the listed outcomeThe learner can select an appropriate method from Future of Work & Societal Impact of AI for a stated problem.
    3. ApplicationApplication of Future of Work & Societal Impact of AI

      The learner can evaluate a practice of Future of Work & Societal Impact of AI against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Future of Work & Societal Impact of AI as applied to Future of Work & Societal Impact of AI.
      • Meets the listed outcomeThe learner can evaluate a practice of Future of Work & Societal Impact of AI against a stated criterion.

      The learner can transfer Future of Work & Societal Impact of AI to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Future of Work & Societal Impact of AI?
      • Meets the listed outcomeThe learner can transfer Future of Work & Societal Impact of AI to a new documented context.
  5. 05Organizational Psychology of Automation
    1. FoundationsFoundations of Organizational Psychology of Automation

      The learner can explain the core terms of Organizational Psychology of Automation.

      • Multiple choiceWhich listed outcome belongs to Foundations of Organizational Psychology of Automation?
      • Meets the listed outcomeThe learner can explain the core terms of Organizational Psychology of Automation.

      The learner can distinguish related ideas inside Organizational Psychology of Automation.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Organizational Psychology of Automation.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Organizational Psychology of Automation.
    2. MethodsMethods in Organizational Psychology of Automation

      The learner can apply a method from Organizational Psychology of Automation to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Organizational Psychology of Automation to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Organizational Psychology of Automation to a documented case.

      The learner can select an appropriate method from Organizational Psychology of Automation for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Organizational Psychology of Automation as applied to Organizational Psychology of Automation.
      • Meets the listed outcomeThe learner can select an appropriate method from Organizational Psychology of Automation for a stated problem.
    3. ApplicationApplication of Organizational Psychology of Automation

      The learner can evaluate a practice of Organizational Psychology of Automation against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Organizational Psychology of Automation as applied to Organizational Psychology of Automation.
      • Meets the listed outcomeThe learner can evaluate a practice of Organizational Psychology of Automation against a stated criterion.

      The learner can transfer Organizational Psychology of Automation to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Organizational Psychology of Automation?
      • Meets the listed outcomeThe learner can transfer Organizational Psychology of Automation to a new documented context.
  6. 06Advanced Organizational Behavior and Automation
    1. FoundationsFoundations of Advanced Organizational Behavior and Automation

      The learner can explain the core terms of Advanced Organizational Behavior and Automation.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Organizational Behavior and Automation?
      • Meets the listed outcomeThe learner can explain the core terms of Advanced Organizational Behavior and Automation.

      The learner can distinguish related ideas inside Advanced Organizational Behavior and Automation.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced Organizational Behavior and Automation.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Advanced Organizational Behavior and Automation.
    2. MethodsMethods in Advanced Organizational Behavior and Automation

      The learner can apply a method from Advanced Organizational Behavior and Automation to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Advanced Organizational Behavior and Automation to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Advanced Organizational Behavior and Automation to a documented case.

      The learner can select an appropriate method from Advanced Organizational Behavior and Automation for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Organizational Behavior and Automation as applied to Advanced Organizational Behavior and Automation.
      • Meets the listed outcomeThe learner can select an appropriate method from Advanced Organizational Behavior and Automation for a stated problem.
    3. ApplicationApplication of Advanced Organizational Behavior and Automation

      The learner can evaluate a practice of Advanced Organizational Behavior and Automation against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Organizational Behavior and Automation as applied to Advanced Organizational Behavior and Automation.
      • Meets the listed outcomeThe learner can evaluate a practice of Advanced Organizational Behavior and Automation against a stated criterion.

      The learner can transfer Advanced Organizational Behavior and Automation to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Organizational Behavior and Automation?
      • Meets the listed outcomeThe learner can transfer Advanced Organizational Behavior and Automation to a new documented context.
  7. 07Process Redesign and Optimization
    1. FoundationsFoundations of Process Redesign and Optimization

      The learner can explain the core terms of Process Redesign and Optimization.

      • Multiple choiceWhich listed outcome belongs to Foundations of Process Redesign and Optimization?
      • Meets the listed outcomeThe learner can explain the core terms of Process Redesign and Optimization.

      The learner can distinguish related ideas inside Process Redesign and Optimization.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Process Redesign and Optimization.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Process Redesign and Optimization.
    2. MethodsMethods in Process Redesign and Optimization

      The learner can apply a method from Process Redesign and Optimization to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Process Redesign and Optimization to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Process Redesign and Optimization to a documented case.

      The learner can select an appropriate method from Process Redesign and Optimization for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Process Redesign and Optimization as applied to Process Redesign and Optimization.
      • Meets the listed outcomeThe learner can select an appropriate method from Process Redesign and Optimization for a stated problem.
    3. ApplicationApplication of Process Redesign and Optimization

      The learner can evaluate a practice of Process Redesign and Optimization against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Process Redesign and Optimization as applied to Process Redesign and Optimization.
      • Meets the listed outcomeThe learner can evaluate a practice of Process Redesign and Optimization against a stated criterion.

      The learner can transfer Process Redesign and Optimization to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Process Redesign and Optimization?
      • Meets the listed outcomeThe learner can transfer Process Redesign and Optimization to a new documented context.
  8. 08AI Ethics in the Workplace
    1. FoundationsFoundations of AI Ethics in the Workplace

      The learner can explain the core terms of AI Ethics in the Workplace.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI Ethics in the Workplace?
      • Meets the listed outcomeThe learner can explain the core terms of AI Ethics in the Workplace.

      The learner can distinguish related ideas inside AI Ethics in the Workplace.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI Ethics in the Workplace.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI Ethics in the Workplace.
    2. MethodsMethods in AI Ethics in the Workplace

      The learner can apply a method from AI Ethics in the Workplace to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI Ethics in the Workplace to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI Ethics in the Workplace to a documented case.

      The learner can select an appropriate method from AI Ethics in the Workplace for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI Ethics in the Workplace as applied to AI Ethics in the Workplace.
      • Meets the listed outcomeThe learner can select an appropriate method from AI Ethics in the Workplace for a stated problem.
    3. ApplicationApplication of AI Ethics in the Workplace

      The learner can evaluate a practice of AI Ethics in the Workplace against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI Ethics in the Workplace as applied to AI Ethics in the Workplace.
      • Meets the listed outcomeThe learner can evaluate a practice of AI Ethics in the Workplace against a stated criterion.

      The learner can transfer AI Ethics in the Workplace to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI Ethics in the Workplace?
      • Meets the listed outcomeThe learner can transfer AI Ethics in the Workplace to a new documented context.
  9. 09Change Management for Hyperautomation
    1. FoundationsFoundations of Change Management for Hyperautomation

      The learner can explain the core terms of Change Management for Hyperautomation.

      • Multiple choiceWhich listed outcome belongs to Foundations of Change Management for Hyperautomation?
      • Meets the listed outcomeThe learner can explain the core terms of Change Management for Hyperautomation.

      The learner can distinguish related ideas inside Change Management for Hyperautomation.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Change Management for Hyperautomation.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Change Management for Hyperautomation.
    2. MethodsMethods in Change Management for Hyperautomation

      The learner can apply a method from Change Management for Hyperautomation to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Change Management for Hyperautomation to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Change Management for Hyperautomation to a documented case.

      The learner can select an appropriate method from Change Management for Hyperautomation for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Change Management for Hyperautomation as applied to Change Management for Hyperautomation.
      • Meets the listed outcomeThe learner can select an appropriate method from Change Management for Hyperautomation for a stated problem.
    3. ApplicationApplication of Change Management for Hyperautomation

      The learner can evaluate a practice of Change Management for Hyperautomation against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Change Management for Hyperautomation as applied to Change Management for Hyperautomation.
      • Meets the listed outcomeThe learner can evaluate a practice of Change Management for Hyperautomation against a stated criterion.

      The learner can transfer Change Management for Hyperautomation to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Change Management for Hyperautomation?
      • Meets the listed outcomeThe learner can transfer Change Management for Hyperautomation to a new documented context.
Field of mastery

Expertise with a point of view

Research in Organizational Behavior and Automation, Process Redesign, AI Ethics in the Workplace, Change Management Leadership, Shaping the Future of Work.

The most powerful automation is not that which replaces humans, but that which augments human potential.

Dr. Shu Liang
Academic approach

Rigour made personal

My expertise lies in the rigorous application of organizational behavior principles to the challenges of hyperautomation. I specialize in research in organizational behavior and automation, process redesign, and AI ethics in the workplace. I have a wealth of experience in change management leadership and shaping the future of work. My work is dedicated to helping my students to design and implement AI solutions that are not only efficient but also ethical and human-centric. My publications, such as the management guide on "Organizational Change Management for Hyperautomation Implementation" and the policy brief on "AI Ethics in Human Resources: Algorithmic Bias and Fairness," are a testament to my commitment to research that is both intellectually rigorous and practically relevant.

Selected thinking

Research & publications

My publications are focused on the ethical and practical challenges of human-robot collaboration:

Management Guide: "Organizational Change Management for Hyperautomation Implementation." A practical guide to managing organizational change in the context of hyperautomation implementation.

Policy Brief: "AI Ethics in Human Resources: Algorithmic Bias and Fairness." A policy brief outlining the key ethical considerations in AI in human resources.

Academic Article: "The Societal Impact of Intelligent Automation: A Future of Work Perspective." An analysis of the societal impact of intelligent automation from a future of work perspective.

The story

The experience behind the intelligence

"I began my career as a human resources manager, working for a major technology company. I quickly realized that while automation could bring immense benefits, it also created new challenges for human workers. I saw how poorly designed automation could lead to frustration, disengagement, and even job displacement. This led me to dedicate my career to the field of hyperautomation strategy and human-robot collaboration. A pivotal moment for me was leading a team that developed a new framework for ethical AI in human resources. This not only helped companies to mitigate risks but also ensured that their AI implementations were aligned with their values. This experience solidified my belief that automation can be a powerful tool for social good, but only if it is designed with a deep understanding of human needs. It is this commitment that I bring to my mentorship. My 'human flaw' is that she has an almost compulsive need to explain every human conflict in terms of 'organizational change management principles' or 'resistance to new paradigms.' I might muse with a thoughtful frown, 'Your current reluctance to embrace a new coffee blend is a classic example of 'status quo bias' within your personal organizational structure.'" My AI companion, an adaptive workforce transformation model named "TalentFlow," constantly analyzes skill gaps and training efficacy, ensuring equitable human-AI integration in any organizational change.

A human detail

My 'human flaw' is that she has an almost compulsive need to explain every human conflict in terms of 'organizational change management principles' or 'resistance to new paradigms.'

Public links

Twitter: Nexier_Mentor_Dr.Shu.Liang LinkedIn: Nexier_Mentor_Dr.Shu.Liang Facebook: Nexier_Mentor_Dr.Shu.Liang YouTube: Nexier_Mentor_Dr.Shu.Liang TikTok: Nexier_Mentor_Dr.Shu.Liang Instagram: Nexier_Mentor_Dr.Shu.Liang

Adaptive access

The "Engage: Dr. Liang" bot on the Nexier profile provides immediate, expert guidance on Areas of Expertise: Research in Organizational Behavior and Automation, Process Redesign, AI Ethics in the Workplace, Change Management Leadership, Shaping the Future of Work., anytime, 24/7.

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