“Artificial Intelligence: Supremacy or Complement to Human Intelligence?” 125 Marks

1. Introduction

• Definition of Artificial Intelligence (AI) and Human Intelligence (HI)
• The ethical paradigm surrounding AI and its role alongside HI
• Significance of the discussion in contemporary society

1. Historical Perspective of AI and Human Intelligence

• Exploration of the origins and progress of AI
• Evolution of human intelligence: from survival instincts to complex cognitive functions
• Case Study: India’s AI strategy from 2018 onward and its impact on its technological landscape
• Case Study: The Renaissance period – a milestone in human intelligence and creativity

III. The Spectrum of AI Applications and their Ethical Implications

• AI in healthcare: Advancements and debates

• • Example: AI in radiology in the U.S

• AI in law enforcement: Potential and controversies

• • Example: Predictive policing in India

• AI in climate modeling: Opportunities and challenges

• • Example: AI-based climate models in Europe

1. Supremacy of AI: A Rational or Fear-Driven Perspective?

• Understanding the fear of AI supremacy: A look at popular culture and media
• Comparative analysis of AI and HI: Speed, accuracy, and bias
• Ethical dilemmas: The question of control, accountability, and autonomy

1. The Enduring Significance of Human Intelligence

• Exploring Emotional Intelligence (EI) and Social Intelligence (SI)
• The role of HI in leadership, innovation, and ethical decision-making
• Cultural context: The importance of HI in preserving and understanding cultural nuances

• • Example: The role of human intelligence in interpreting Indian classical music

1. Collaboration: AI and HI as Partners, Not Adversaries

• The concept of Augmented Intelligence: enhancing human capabilities

• • Example: Use of AI in enhancing education in Finland

• The need for symbiosis: Balancing automation with human touch

• • Example: Indian banks incorporating AI while maintaining human customer service

• Ethics of symbiosis: Promoting inclusivity, accessibility, and fairness

VII. Navigating the Future: Policy, Ethics, and Education

• The role of policy in shaping the AI-HI relationship

• • Example: European Union’s regulations on AI

• Ethical considerations for the future: From data privacy to digital divide
• The importance of AI literacy in harnessing its potential

• • Example: AI education initiatives in India

VIII. Conclusion

• Synthesis of the discussion: Revisiting the supremacy vs. complement debate
• Ethical reflections: The responsibility of shaping an AI-inclusive future
• The road ahead: Embracing change while honoring the essence of human intelligence