The presentation discusses the future impacts and potential of artificial intelligence (AI), covering its definition, current applications in various sectors like healthcare and finance, and advancements in technology such as quantum computing and IoT. It highlights the implications for jobs and society, including skills development and ethical considerations, while also addressing challenges like job displacement and security risks. The conclusion emphasizes the transformative role of AI in advancing industries and the importance of responsible development for tackling global challenges.

1. Artificial Intelligence
in the Future
This presentation explores the potential and impacts of Artificial
Intelligence (AI) on our world.
Prepared by - Shivanshu Pal
B.Pharm,
Rama Unversity Kanpur

2. Introduction to Artificial Intelligence (AI)
Definition
Artificial Intelligence (AI) is the simulation of human
intelligence in machines designed to perform tasks that
typically require human intelligence, like learning,
problem-solving, and decision-making.
Key Areas of AI
- Machine Learning - Natural Language Processing -
Robotics - Computer Vision

3. Current Uses of AI
1 Healthcare
Disease diagnosis, personalized
treatment, robotic surgery.
2 Finance
Fraud detection, investment
analysis, algorithmic trading.
3 Transportation
Autonomous vehicles, traffic
prediction.
4 Entertainment
Recommendations (e.g., Netflix, YouTube), game
development.
5 Personal Assistants
Virtual assistants like Siri, Alexa.

4. Future Prospects of AI
Healthcare Advancements
Improved diagnostics, new drug
discovery, and predictive analytics for
patient care.
Smart Cities
Optimized urban planning, traffic
management, energy conservation.
Education
Personalized learning platforms, AI
tutors, and learning analytics.

5. Emerging Technologies in AI
1 Quantum Computing
Will accelerate AI's
processing power, enabling
faster and more complex
computations.
2 Neural Networks and
Deep Learning
Better models for
recognizing patterns,
images, and speech.
3 AI in Internet of
Things (IoT)
Smart homes, smart
appliances, and
interconnectivity between
devices.
4 Blockchain and AI
Secure data management
and AI-driven smart
contracts.

6. Potential Impacts on Jobs and
Society
Job Transformation Shift in required skills, new job
roles in AI development, data
science, AI ethics.
Automation Routine jobs may be replaced
by AI, leading to more
opportunities in tech-driven
fields.
Ethics and Responsibility Need for policies on AI usage,
privacy concerns, and algorithm
transparency.
Economic Shifts AI could lead to more
productivity but may also affect
income distribution.

7. Challenges and Risks
1 Ethics
Bias in AI algorithms,
privacy concerns, and
misuse.
2 Security
Vulnerability to hacking,
AI-driven cybersecurity
risks.
3 Dependency on
Technology
Potential over-reliance on
AI for critical decisions.
4 Job Displacement
Risk of job loss in certain
sectors due to automation.

8. Preparing for an AI Future
1 Skills to Develop
Coding, data analysis, understanding AI ethics, and
critical thinking.
2 Adaptability
Embrace new technology, lifelong learning.
3 Awareness of AI Policies
Follow AI regulations, understand ethical AI principles.
4 Collaboration with AI
Working alongside AI tools, leveraging them for
productivity.

9. Conclusion
1 Recap
AI’s role in advancing
industries, transforming
jobs, and presenting both
opportunities and
challenges.
2 Future Vision
With responsible
development, AI can
contribute to solving global
challenges and enhancing
human capabilities.

10. Q&A
Invite questions from the audience.