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Artificial Intelligence (AI) and Future Society
Dr. A. Prabaharan
Professor & Research Director,
Public Action
www.indopraba.blogspot.com
AI & Future Society
AI holds profound
implications for the future
economy and society,
impacting various aspects of
work, governance,
healthcare, education, and
human interaction.
Here's how AI might shape
the future economy and
society www.indopraba.blogspot.com
Automation and Job Displacement
 AI automation could transform industries by replacing
routine tasks and jobs, leading to shifts in employment
patterns and skill requirements.
 While some jobs may be displaced, new opportunities
may emerge in AI-related fields, requiring skills in data
science, machine learning, and AI engineering.
www.indopraba.blogspot.com
Productivity and Economic Growth
 AI has the potential to drive productivity gains and
economic growth by streamlining processes,
optimizing resource allocation, and fostering
innovation across sectors.
 AI-driven technologies could unlock new
opportunities for value creation, entrepreneurship,
and market disruption, fueling economic
expansion and prosperity.
www.indopraba.blogspot.com
Income Inequality and Distributional Impacts
 AI adoption may exacerbate income
inequality if the benefits of AI-driven
productivity gains are unequally
distributed across society.
 Addressing the distributional impacts of
AI requires policies and initiatives that
promote inclusive growth, support
displaced workers, and ensure that
everyone can benefit from AI-driven
economic opportunities.
www.indopraba.blogspot.com
Skills and Workforce Development
 AI will reshape the future of work, requiring individuals
to acquire new skills and adapt to evolving job roles
and industry demands.
 Investing in workforce development programs, lifelong
learning initiatives, and reskilling opportunities is
crucial to equip individuals with the skills needed to
thrive in the AI-driven economy.
www.indopraba.blogspot.com
Ethical and Societal Implications
 AI raises ethical and societal questions related
to privacy, fairness, transparency,
accountability, and human rights.
 Addressing these implications requires robust
governance frameworks, ethical guidelines,
and responsible innovation practices to
ensure that AI technologies are deployed
ethically and equitably, fostering trust and
confidence in AI systems.
www.indopraba.blogspot.com
Skills Development and Workforce Transformation
www.indopraba.blogspot.com
 AI-driven technologies have the potential
to revolutionize healthcare delivery,
improve patient outcomes, and enhance
population health. AI-powered
diagnostics, personalized medicine,
telehealth services, and preventive
interventions could transform healthcare
systems, making healthcare more
accessible, affordable, and effective for
individuals and communities.
Ethical and Societal Implications
 AI raises ethical, social, and regulatory
challenges related to privacy, fairness,
transparency, and accountability in the
future economy.
 Addressing these challenges requires
responsible AI governance frameworks,
ethical guidelines, and regulatory
mechanisms to ensure that AI technologies
are deployed responsibly and equitably,
fostering trust, confidence, and social
acceptance of AI-driven economic
transformation.
www.indopraba.blogspot.com
Healthcare and Well-being
 AI-driven technologies have the potential to
revolutionize healthcare delivery, improve
patient outcomes, and enhance population
health.
 AI-powered diagnostics, personalized medicine,
telehealth services, and preventive interventions
could transform healthcare systems, making
healthcare more accessible, affordable, and
effective for individuals and communities.
Education and Lifelong Learning
 AI will reshape education systems by enabling
personalized learning experiences, expanding access to
quality education, and fostering lifelong learning
opportunities.
 AI-driven educational technologies, adaptive learning
platforms, and online learning resources could empower
learners of all ages and backgrounds to acquire new skills,
pursue educational goals, and adapt to a rapidly changing
world.
Governance and Decision-making
 AI could transform governance and decision-
making processes by providing policymakers
with data-driven insights, predictive analytics,
and decision support tools.
 AI-driven governance systems, smart cities
initiatives, and policy simulation models could
enhance public service delivery, improve
regulatory effectiveness, and promote evidence-
based policymaking, leading to more responsive
and accountable governance.
Environmental Sustainability
 AI-driven technologies could play a critical role in
addressing environmental challenges such as
climate change, pollution, and resource depletion.
 AI-powered environmental monitoring, predictive
modeling, and sustainability solutions could enable
more efficient resource management, promote
renewable energy adoption, and facilitate climate
resilience strategies, contributing to a more
sustainable and resilient future.
Human-Machine Collaboration
 AI will redefine human-machine interactions and
collaborations, blurring the lines between human and
machine intelligence.
 Embracing the potential of human-machine
collaboration could unlock new opportunities for
creativity, innovation, and problem-solving, enabling
individuals and organizations to augment human
capabilities with AI technologies and achieve collective
goals that were previously unattainable.
End Note
 Overall, the future of the economy and society will
be shaped by the widespread adoption and
integration of AI technologies, presenting both
opportunities and challenges for individuals,
businesses, governments, and society as a whole.
 By proactively addressing the ethical, social, and
economic implications of AI, stakeholders can
harness the transformative potential of AI to build
a future that is inclusive, sustainable, and beneficial
for all.
www.indopraba.blogspot.com

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Artificial Intelligence (AI) and Future Society.pptx

  • 1. Artificial Intelligence (AI) and Future Society Dr. A. Prabaharan Professor & Research Director, Public Action www.indopraba.blogspot.com
  • 2. AI & Future Society AI holds profound implications for the future economy and society, impacting various aspects of work, governance, healthcare, education, and human interaction. Here's how AI might shape the future economy and society www.indopraba.blogspot.com
  • 3. Automation and Job Displacement  AI automation could transform industries by replacing routine tasks and jobs, leading to shifts in employment patterns and skill requirements.  While some jobs may be displaced, new opportunities may emerge in AI-related fields, requiring skills in data science, machine learning, and AI engineering. www.indopraba.blogspot.com
  • 4. Productivity and Economic Growth  AI has the potential to drive productivity gains and economic growth by streamlining processes, optimizing resource allocation, and fostering innovation across sectors.  AI-driven technologies could unlock new opportunities for value creation, entrepreneurship, and market disruption, fueling economic expansion and prosperity. www.indopraba.blogspot.com
  • 5. Income Inequality and Distributional Impacts  AI adoption may exacerbate income inequality if the benefits of AI-driven productivity gains are unequally distributed across society.  Addressing the distributional impacts of AI requires policies and initiatives that promote inclusive growth, support displaced workers, and ensure that everyone can benefit from AI-driven economic opportunities. www.indopraba.blogspot.com
  • 6. Skills and Workforce Development  AI will reshape the future of work, requiring individuals to acquire new skills and adapt to evolving job roles and industry demands.  Investing in workforce development programs, lifelong learning initiatives, and reskilling opportunities is crucial to equip individuals with the skills needed to thrive in the AI-driven economy. www.indopraba.blogspot.com
  • 7. Ethical and Societal Implications  AI raises ethical and societal questions related to privacy, fairness, transparency, accountability, and human rights.  Addressing these implications requires robust governance frameworks, ethical guidelines, and responsible innovation practices to ensure that AI technologies are deployed ethically and equitably, fostering trust and confidence in AI systems. www.indopraba.blogspot.com
  • 8. Skills Development and Workforce Transformation www.indopraba.blogspot.com  AI-driven technologies have the potential to revolutionize healthcare delivery, improve patient outcomes, and enhance population health. AI-powered diagnostics, personalized medicine, telehealth services, and preventive interventions could transform healthcare systems, making healthcare more accessible, affordable, and effective for individuals and communities.
  • 9. Ethical and Societal Implications  AI raises ethical, social, and regulatory challenges related to privacy, fairness, transparency, and accountability in the future economy.  Addressing these challenges requires responsible AI governance frameworks, ethical guidelines, and regulatory mechanisms to ensure that AI technologies are deployed responsibly and equitably, fostering trust, confidence, and social acceptance of AI-driven economic transformation. www.indopraba.blogspot.com
  • 10. Healthcare and Well-being  AI-driven technologies have the potential to revolutionize healthcare delivery, improve patient outcomes, and enhance population health.  AI-powered diagnostics, personalized medicine, telehealth services, and preventive interventions could transform healthcare systems, making healthcare more accessible, affordable, and effective for individuals and communities.
  • 11. Education and Lifelong Learning  AI will reshape education systems by enabling personalized learning experiences, expanding access to quality education, and fostering lifelong learning opportunities.  AI-driven educational technologies, adaptive learning platforms, and online learning resources could empower learners of all ages and backgrounds to acquire new skills, pursue educational goals, and adapt to a rapidly changing world.
  • 12. Governance and Decision-making  AI could transform governance and decision- making processes by providing policymakers with data-driven insights, predictive analytics, and decision support tools.  AI-driven governance systems, smart cities initiatives, and policy simulation models could enhance public service delivery, improve regulatory effectiveness, and promote evidence- based policymaking, leading to more responsive and accountable governance.
  • 13. Environmental Sustainability  AI-driven technologies could play a critical role in addressing environmental challenges such as climate change, pollution, and resource depletion.  AI-powered environmental monitoring, predictive modeling, and sustainability solutions could enable more efficient resource management, promote renewable energy adoption, and facilitate climate resilience strategies, contributing to a more sustainable and resilient future.
  • 14. Human-Machine Collaboration  AI will redefine human-machine interactions and collaborations, blurring the lines between human and machine intelligence.  Embracing the potential of human-machine collaboration could unlock new opportunities for creativity, innovation, and problem-solving, enabling individuals and organizations to augment human capabilities with AI technologies and achieve collective goals that were previously unattainable.
  • 15. End Note  Overall, the future of the economy and society will be shaped by the widespread adoption and integration of AI technologies, presenting both opportunities and challenges for individuals, businesses, governments, and society as a whole.  By proactively addressing the ethical, social, and economic implications of AI, stakeholders can harness the transformative potential of AI to build a future that is inclusive, sustainable, and beneficial for all.