Human-Core Skills for the AI Era is an experiential workshop on the skills AI cannot replace: critical thinking, Design Thinking, decision-making under uncertainty, communication and emotional resilience. It suits staff, supervisors and managers who now use AI day to day, and you leave with a 90-day personal development plan.
As AI drafts documents, analyzes data and answers questions faster every day, working people face a question they cannot avoid: where does our value lie? The World Economic Forum Future of Jobs Report 2025 finds that around 39% of the skills employers need will change by 2030, and that alongside AI and technology skills the fastest-growing skills include creative thinking, resilience and flexibility, curiosity, and leadership, all human skills that AI finds hard to replace. This course is an experiential workshop that spends around 70% of its
time on group activities, reflection and simulations, building core human skills in the context of working alongside AI: critical thinking about AI output, creativity and problem solving with design thinking, decision making under uncertainty, communication and teamwork, emotional intelligence and resilience, a love of learning, and ethical judgment. Scenarios are drawn from manufacturing and office work, every skill comes together in the Human + AI Challenge, and the day closes with an individual development plan. (1 day, 6 hours in total, suitable for all levels, no technology background required.)
Course Details
A 1-day course, 6 hours in total (09:00-16:00), run as an experiential workshop with around 70% of the time spent on group activities, reflection and simulations. Suitable for all levels with no technology skills required. Microsoft 365 Copilot Chat is used as a supporting tool in some activities, which calls for at least one notebook or smartphone per team with a Microsoft 365 Copilot account, but the heart of the
course is developing human skills. The reference frameworks are the WEF Future of Jobs Report 2025 and design thinking (Stanford d.school). The instructor provides scenario cards, flipcharts and sticky notes. Assessment includes a pre- and post-course self-assessment of core skills, evaluation of participation and output in the Human + AI Challenge, and a post-course satisfaction survey. Learners take home a critical thinking checklist, design thinking tools and a 90-day Personal Development Plan.
Day 1: Building Human Strengths to Add Real Value Alongside AI
Key findings from the WEF Future of Jobs Report 2025 that every worker should know
Around 39% of the skills employers need will change by 2030
Fast-growing skills: creative thinking, resilience and flexibility, curiosity, and leadership
Work AI does well compared with work that still depends on people
Human + AI collaboration in a human-in-the-loop model where people make the decisions
Questioning AI answers before using them to make decisions
Checking the evidence and the source of information
Separating facts from opinions
Watching for bias, both in AI and in ourselves
Activity: AI says this, so how far can we trust it?
The design thinking process: Empathize, Define, Ideate, Prototype, Test
Using AI as a brainstorming partner to widen the range of ideas
The human role in choosing, filtering and deciding among the ideas
Solving workplace problems with design thinking, with AI as an assistant
Weighing options when information is incomplete or conflicting
Deciding on information AI has summarized while knowing its limits
Assessing the risks and impact of each option
Owning the decision even when AI proposed the options
Active listening and empathy
Giving and receiving feedback constructively
Working across functions and communicating with many groups of stakeholders
AI can draft the message, but only people can build trust
Recognizing and understanding your own emotions
Managing stress caused by change at work
Resilience: recovering and adapting when the unexpected happens
Building a growth mindset toward new technology
Techniques for learning new things quickly
Using AI as a tutor (AI Tutor) for self-development
Lifelong learning with AI as an assistant
Curiosity, a fast-growing skill that helps you keep pace with new technology
Integrity in using AI to help with work
Disclosing which work was done with AI assistance
Accountability for the work you deliver, even when AI helped draft it
Ethical judgment in situations that are not clear-cut
Each team takes a simulated scenario based on the work of team members or a case study prepared by the instructor
Example: a customer complains of abnormal product noise while the parts assembly line has a quality problem
Use AI to gather information and draft options, then apply human skills to understand stakeholders, decide and communicate
Workshop: present the team result and reflect together
Reviewing your pre- and post-course self-assessment of core skills
Summarizing your strengths and the skills to develop, drawn from the activities throughout the day
Setting skill development goals for the next 90 days, with AI as a learning assistant
Workshop: build your individual Personal Development Plan
No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770
Human-in-the-loop is a way of working where AI helps to draft, search or analyse, but a person always checks the output and makes the final decision. You decide which parts of the task AI may handle, review its results before using them, and then make and own the decision yourself. This uses AI's speed while keeping human judgement, context and ethics in charge.
Check facts, figures and names against the original sources, see whether the answer is backed by evidence or a source, look for hidden assumptions or bias, and ask whether it really fits the context of your work. AI can sound confident even when it is wrong, so for anything that feeds into an important decision, have a subject expert review it as well.
Design Thinking, as taught by the Stanford d.school, has five stages: empathise with users, define the problem, ideate, prototype and test. AI can help at some stages, for instance by summarising user feedback, widening the range of ideas or speeding up a first prototype, but understanding people and choosing the solution still rely on human judgement.
It suits employees at every level preparing to work alongside AI, production supervisors who communicate and coach their teams, office staff starting to use AI and managers who want to set an example. No technology skills are needed, but you should be willing to join group activities. Completing AI Literacy for Everyone first is recommended, and you should bring one situation or problem from your own work.
You will be able to work with AI on a human-in-the-loop basis, assess AI output critically before using it, apply Design Thinking with AI to solve problems, make decisions under uncertainty and manage emotions through change, leaving with a critical thinking checklist and a 90-day personal development plan. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
Yes. It can be run in-house for your team, with the simulations and group activities adapted to your own work, such as real problems from your production lines or offices. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.
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