TLDR: Full automation often fails due to complex reality & lack of contextual understanding. Better: partial automation + trust in people who decide & act situationally. Focus on freedom, not rigid processes.
AI sounds confident, but leads to cognitive laziness. Critical thinking is key, not "perfect" prompts. Use AI as a thought partner, not a guru. Cognitive humility is key.
The Fraunhofer IAO scenario report analyzes digital transformation as an ongoing process requiring strategic technology integration. It emphasizes the importance of AI, networking, and further education to secure competitive advantages and overcome challenges such as data protection. Actively shaping the digital future through agile strategies is recommended.
Digitalisierung
Entscheiden
Komplexität
KI
Problemlösung
Disruption
Michael Schiller
January 21, 2025 ·
13 minutes read
The increasing flood of information and system complexity overwhelm cognitive abilities. This requires systems thinking, heuristics, and AI for reduction. Neural plasticity enables adaptation through focus and cooperation. AI serves as a partner to overcome challenges, with a willingness to change being essential.
The "Future of Jobs Report 2025" predicts a profound transformation by 2030 due to AI, robotics, and sustainability. Automation reduces human tasks but requires new skills in technology and collaboration. Lifelong learning and ethical technology design are crucial for an inclusive, future-proof world of work. Education and politics must adapt.
The Software AG at the high school focuses on Ruby on Rails and AI tutorials for an innovative school planner development. Small group work promotes strengths and empowerment, while the emphasis is on communication, understanding, and self-determination. The journey is the reward, characterized by constructive feedback, acceptance of mistakes, and experiencing the malleability of our world.
AI functionality is similar to human intuition, based on "training" and cultural imprinting. Uncritical acceptance of AI results carries risks, as cognitive biases, such as deference to authority, influence decisions. Conscious thinking and questioning are essential for responsible AI use.