This unit examines how rapid technological change shapes leadership decisions, organizational purpose, and stakeholder trust. Students will explore empathy-driven decision-making, ethical trade-offs, and question-based foresight tools (e.g., Digital Transformation Canvas 2.0) to prepare human-centered strategies for technology-enabled transformation.
Learning Objectives
- Analyze how technological acceleration functions as both force and cost within organizations and its impacts on stakeholders, using case examples to identify systemic incentives and unintended consequences
- Apply empathy-based leadership and team decision-making techniques to manage uncertainty, surface partial answers, and build trust during tech-driven change initiatives
- Evaluate ethical dilemmas related to AI, surveillance, perverse incentives, and meaning-making, and recommend mitigation strategies that balance economic growth with human well-being
- Design and prioritize future-oriented questions and an actionable digital transformation plan using tools such as the Digital Transformation Canvas 2.0 and question-mining techniques to guide trustworthy implementation
Curriculum
- 1 Section
- 60 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 2 — Ethical Acceleration and Foresight60
- 1.1Acceleration as a Force20 mins
- 1.2Tackling Uncertainty as a Team20 mins
- 1.3I Don’t Know20 mins
- 1.4Perverse Incentives20 mins
- 1.5The Ongoing Importance of Meaning-Making20 mins
- 1.6Digital Transformation Canvas 2.020 mins
- 1.7Empathy in Decision-Making20 mins
- 1.8Acceleration as a Cost20 mins
- 1.9Questions for Future Visioning20 mins
- 1.10The Anatomy of a Good Question20 mins
- 1.11Tech Mongooses20 mins
- 1.12External vs. Internal Purpose20 mins
- 1.13Transformation at Scale20 mins
- 1.14The Role of Empathetic Leadership in a Tech-Heavy World20 mins
- 1.15Balancing Economic Growth and Human Well-Being20 mins
- 1.16Clarifying Questions20 mins
- 1.17Shaping the Future with Questions20 mins
- 1.18Misconceptions About Ethics Meet the AI Age20 mins
- 1.19We Can’t Leave Meaning up to Machines20 mins
- 1.20Moving Past Reactivity toward Foresight20 mins
- 1.21Surveillance and the Paradox of Trust20 mins
- 1.22Acceleration as a Philosophy20 mins
- 1.23Preparatory Questions20 mins
- 1.24Tool: Mining for Meaningful Questions20 mins
- 1.25Demystifying How We Talk and Think About AI20 mins
- 1.26Output vs. Outcome20 mins
- 1.27Siemens Chengdu Factory’s Foresight20 mins
- 1.28Leading toward a Trustworthy Future20 mins
- 1.29Move Fast, but Don’t Break Humanity20 mins
- 1.30Prioritizing Questions20 mins
- 1.31The Gathering Stage: Collecting Partial Answers20 mins
- 1.32Knowing Our Own Minds20 mins
- 1.33Making Tech Human-Friendly20 mins
- 1.34From Reactive to Proactive20 mins
- 1.35Building Trust into Tech: Actionable Steps20 mins
- 1.36Ethical Acceleration: The Need for Balanced Speed20 mins
- 1.37The Calibration Question20 mins
- 1.38The Gift of Partial Answers20 mins
- 1.39Thinking Language20 mins
- 1.40Creativity20 mins
- 1.41Crafting Future-Ready Strategy with Through-Line Thinking20 mins
- 1.42How Much Management Should We Delegate to Algorithms?20 mins
- 1.43Missteps and Oversights20 mins
- 1.44From Questions to Actions20 mins
- 1.45From Conflicting Answers to Insights20 mins
- 1.46The Embodiment of Intelligence20 mins
- 1.47Creativity in Constraint20 mins
- 1.48Pivoting Harmful Inaction into Harm-Reducing Action at Scale20 mins
- 1.49Future of Work Considerations20 mins
- 1.50The Human Impact of Tech Decisions20 mins
- 1.51Future-Ready, Not “Future-Proof”20 mins
- 1.52Finding Insights Amid Partial Answers20 mins
- 1.53Applying the Strengths of Human and Machine Intelligence20 mins
- 1.54Creative Blocks20 mins
- 1.55A Costly Scandal20 mins
- 1.56Humans and Machines in Harmony20 mins
- 1.57Correcting Course20 mins
- 1.58What Future-Readiness Requires20 mins
- 1.59The Synthesis Stage: Timeless Insights20 mins
- 1.60What Humans Decide vs. What Machines Decide20 mins
Instructor
Free
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