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AI AND BUSINESS - Coggle Diagram
AI AND BUSINESS
🤖 AI and Job Displacement: Daniela Rus discusses how current AI limitations prevent machines from outthinking humans or displacing jobs in highly cognitive or unskilled labor categories. Instead, AI can support tasks in the middle category, potentially replacing repetitive tasks in the future.
🔄 Task-Based Perspective: It's suggested to examine tasks rather than entire occupations, as tasks within professions vary in their susceptibility to automation. Machines can handle repetitive or predictable tasks, while humans focus on social interactions and strategic aspects of their work.
📈 Predicting Future Jobs: Predicting future job trends is challenging, as seen in historical shifts such as the decline in agricultural employment and the rise of social media-related jobs.
💼 Productivity and Wages: Concerns are raised about productivity and job quality, with attention to income polarization.
👩💻 Lifelong Learning and IT Skills: Emphasis on lifelong learning and computational thinking to prepare individuals for the IT job market.
Key Concepts 🤔
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Low-wage jobs: jobs that involve physical activity, unstructured social interactions, and may be difficult to automate.
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Non-routine situations: tasks that require human creativity, problem-solving, and adaptability, making them difficult to automate.
Takeaways 📝
AI will have a significant impact on employment in the near future, particularly in mid-skilled jobs.
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The displacement of mid-skilled jobs will have social implications and may lead to political pushback.
Understanding the automation potential of different jobs and industries is crucial for developing policies to mitigate the negative effects of AI on employment.
📜 Lessons from History
🚜 As farming became mechanized, children were mandated to stay in school longer to prepare for future jobs.
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CHALLENGES OF AI
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❓ Uncertainty surrounds the future impact of AI, particularly because it can learn and solve problems without explicit programming.
🧠 This ability to bypass human understanding (Polanyi's Paradox) makes it challenging to predict AI's limitations and ultimate impact on jobs.
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🌟 Overall Message:
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🔄 While AI might change the nature of work, it's unlikely to eliminate jobs entirely.
🌐 Challenges include ensuring equitable benefits from technological progress and responsible AI use.
THE O-RING PRINCIPLE
The O-Ring Principle: Many jobs involve a combination of tasks, some routine and some requiring creativity and judgement.
Automation can take over the routine tasks, but it makes the remaining creative tasks even more important.
These creative tasks are like the O-ring in the space shuttle - a small but crucial part that can cause a big failure if it malfunctions.