Benefits: Enhanced customer service, personalized content, accessibility for people with disabilities.

Challenges: Social isolation, reinforcement of filter bubbles, distorted views.

Governance and Public Services:

Impact: Improves delivery of public services, optimizes traffic, crime prediction, administrative processes.
Benefits: More efficient government, better resource allocation, urban planning.
Challenges: Privacy concerns, algorithmic bias, need for transparency.

Ethics and Accountability:

Impact: AI raises questions about ethics, accountability, fairness of algorithms.
Benefits: Ethical frameworks guide responsible development.
Challenges: Determining responsibility for AI mistakes, ensuring fairness/transparency, concentration of power.

Economic and Social Inequality:

Impact: Potential to bridge or deepen societal divides.
Benefits: Democratize knowledge, improve productivity, support economic growth if implemented equitably.
Challenges: Exacerbate inequalities if benefits are concentrated, leading to job losses and unequal opportunities.

Privacy and Surveillance:

Impact: AI enables vast surveillance capabilities (facial recognition, behavioral tracking).
Benefits: Identify security threats, enhance public safety, prevent crime.
Challenges: Balancing security and privacy, potential for misuse, discrimination, violations of rights.

Environmental Sustainability:

Impact: AI optimizes energy use, waste management, aids climate change research.
Benefits: Reduced environmental footprint, efficient resource use, better climate response.
Challenges: Significant energy consumption of large-scale AI models, environmental impact of training.

AI in Media and Content Creation:

Impact: Enables creation of realistic computer-generated images, music, writing, deepfakes.
Benefits: More creative expression, democratizes content creation.
Challenges: Misinformation, disinformation, ethical implications of AI-generated content, manipulation.

Definition: Artificial intelligence systems designed to act as autonomous agents, capable of making decisions, taking actions, and pursuing goals without constant human intervention.
Characteristics:
- Perceive their environment (via sensors or data input).
- Make decisions based on goals, constraints, and context.
- Take actions to influence their environment or achieve objectives.
- Adapt through learning from outcomes or changing conditions.
Example: In advertising and marketing, Agentic AI decides who sees which ad and generative AI creates ad content based on user preferences.
Features of Agentic AI:
1. Autonomy: Can act independently.
2. Goal-oriented behavior: Can set, pursue, and revise goals.
3. Planning and reasoning: Capable of multi-step planning.
4. Memory and statefulness: Retains information about past actions and current tasks.
5. Interaction with environments: May m