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RCI- AI in HealthCare

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Evolution of Artificial Intelligence

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1. According to the OECD (2019), an AI system is defined as:
A system that mimics human emotions A machine-based system that makes predictions, recommendations, or decisions A system that only processes structured data
2. What is the main difference in the OECD 2024 definition of AI?
Focus on robotics only Removal of autonomy Inclusion of inference and adaptiveness after deployment
3. What is meant by the “black box” problem in AI?
AI systems are too expensive AI systems lack transparency in decision-making AI systems cannot process data
4. What does “high-tech, high-touch care” emphasize?
Replacing doctors with machines Using only manual methods Combining AI with human compassion and interaction
5. What was the significance of the Dartmouth Conference (1956)?
First AI robot was built AI was used in healthcare AI was formally established as a field
6. Why did neural networks decline in the 1970s?
Lack of data Hardware was too advanced Limitations highlighted by Minsky and Papert
7. What is the key characteristic of machine learning?
Works only with rules Learns patterns from data without explicit programming Requires no data
8. What enabled the rise of deep learning (2010–2017)?
Decrease in data availability Use of CPUs only GPUs, big data, and algorithmic advances
9. What is the primary function of transformer models?
Image compression Sequential data deletion Self-attention for better context understanding
10. Which type of AI is currently most widely used?
Artificial Super Intelligence (ASI) Artificial General Intelligence (AGI) Artificial Narrow Intelligence (ANI)