Hyper-Performance with Human Artificial Intelligence

This course aims at empowering students to become future leaders who can design and drive organizational hyper-performance by using novel ways of managing human and artificial intelligence (AI).
• How to successfully blend human and artificial intelligence?
• How to create the most meaningful applications of AI in organizations and beyond?
• How to advance towards achieving a mutually beneficial man-machine co-evolution and establishing better ways for human-computer symbiosis?
This course provides insights and expertise on becoming global game changers in the future of a human-led technology-driven world.

INTELLIGENCE
• Human IQ / Energetic / Augmented
• Machine / Deep Learning
• Turing Test / AI in the Box
• Defining Transformation
Wednesday, 5 July TECHNOLOGY
• Stages / Types of AI
• Neuroscience
• Brains as Computers
• Brain-Computer Interfaces
Thursday, 6 July TRANSFORMATION
• Algorithm / Change Wisdom
• STIBE Method
• Typology of Change
• Vectoral Transformation
Friday, 7 July FRAMEWORK
• Transformation Tools
• Problem Clarification
• Investigation Phase
• Measuring Change
Monday, 10 July APPLICATION
• Virtual Agents / Bots
• Robotics / Automation
• Un/Supervised Learning
• Reinforcement Learning
Ljubljana Summer School
Take the Best from East and West
3 – 21 July 2023
Tuesday, 11 July SOLUTION
• Design Phase
• Architecture
• Social Influence
• Business Acceleration
Wednesday, 12 July PERFORMANCE
• Hyper-Performance
• Assurance Phase
• Long-Term Success
• Moderation
Thursday, 13 July ETHICS
• NLP / NLG / GPT-3
• Autonomy
• Conscious Evolution
• Social Dilemma
Monday, 17 July FUTURE
• Singularity
• Man-Machine Symbiosis
• AI Implications
• Hyper-Performing Cities
Tuesday, 18 July CLOSING
• Demo preparation
• Wrapping up presentations
• Final debates
• Feedback

Course leader

STIBE Agnis, EM Normandie Business School, France

Target group

Master students as well as recent graduates and young professionals who wish to acquire new knowledge in specific areas

Course aim

Upon the completion of this course, students will be able to:
• master AI-driven changes at all scales,
• create transformative AI innovations,
• lead AI-empowered organizations towards hyper-performance,
• design AI applications for creating a hyper-impact,
• apply change methods and AI-related tools to solve problems,
• discuss topics related to human and artificial neural networks, as well as
• utilize insights from behavioral and neuroscience.

Credits info

6 EC
Participants can receive the following certificates:

- Certificate of Attendance: awarded after the summer school to all participants who have completed the three-week programme.
- Transcript of Records (with credits and grades): awarded only to participants who complete all course requirements and pass the final examination.

Fee info

EUR 650: You can find more information on our website.

Scholarships

None.

Register for this course
on course website