Artificial Intelligence (AI) & Society.pptx

Artificial Intelligence &
Society
Dr. A. Prabaharan
Professor & Research Director
Public Action

AI & Society
Th e integ ration of A rtific ial
Intelligen c e ( A I) into soc iety h as
p rofou n d imp lication s ac ross variou s
d omain s, influ en c in g h ow we live,
work, and interact.
Here are some key asp ec ts of A I's
imp ac t on soc iety :

Economic Impact
• Automation and Job Displacement
• AI and automation technologies have the
potential to replace certain jobs, leading to
concerns about job displacement.
• However, they also create new opportunities in
AI-related fields and industries.
• Productivity Gains
• AI can enhance productivity in various sectors
by automating repetitive tasks, optimizing
processes, and improving efficiency.
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• New Skill Requirements:
• The adoption of AI technologies introduces new skill
requirements in the workforce.
• There is an increasing emphasis on skills related to data science,
machine learning, and AI development.
• Lifelong Learning:
• Continuous learning and upskilling become essential as
technology evolves, and individuals need to adapt to the
changing demands of the job market.
Education & Skill
Development

• Algorithmic Bias:
• AI systems can inadvertently reflect and perpetuate
biases present in training data. Addressing
algorithmic bias and ensuring fairness and
transparency in AI decision-making are critical
societal challenges.
• Ethical Considerations:
• The ethical use of AI involves addressing issues such
as privacy concerns, consent, and the responsible
development and deployment of AI technologies.
Ethics and Bias

• Personalized Medicine
• AI contributes to advancements in healthcare by
enabling personalized treatment plans, drug discovery,
and diagnostics based on individual genetic profiles.
• Mental Health Support
• AI applications, including chatbots and virtual
assistants, are used to provide mental health support
and resources.
Healthcare and
Well-being

• Data Privacy Concerns
• The increased use of AI often involves the
collection and analysis of vast amounts of
personal data, raising concerns about privacy
and the potential misuse of information.
• Surveillance Technologies
• AI is utilized in surveillance systems, such as
facial recognition, leading to discussions about
the balance between security and individual
privacy.
Privacy and
Surveillance

• Assistive Technologies
• AI-powered assistive technologies enhance accessibility
for individuals with disabilities, providing tools for
communication, navigation, and daily tasks.
• Digital Divide
• Ensuring equal access to AI technologies and addressing
the digital divide is crucial to prevent disparities in access
to information and opportunities.
Accessibility and
Inclusivity

• Energy Consumption
• The training and deployment of large AI models can
contribute to increased energy consumption. Researchers and
developers are exploring ways to make AI systems more
energy-efficient.
• Climate Change Solutions
• AI is applied in climate change research, offering solutions for
monitoring, prediction, and optimization to address
environmental challenges.
Environmental
Impact

• Augmented Intelligence
• The concept of augmented intelligence
emphasizes collaboration between humans and
AI systems to enhance decision-making and
problem-solving.
• Robotics and Automation
• AI-driven robotics play a role in various
industries, working alongside humans in
manufacturing, healthcare, and other sectors.
Human-Machine
Collaboration

• Algorithmic Influence
• AI algorithms on social media platforms
influence content visibility and user
experiences, raising concerns about filter
bubbles, echo chambers, and the spread of
misinformation.
• Content Moderation
• AI is used for content moderation to
identify and address issues such as hate
speech, harassment, and inappropriate
content.
Social Media and
Information

• Legal and Regulatory Frameworks: Governments
and international organizations are developing
policies and regulations to address the ethical and
societal implications of AI, including data
protection, algorithmic accountability, and AI
ethics.
Policy and Regulation

• Explainable AI (XAI)
• Continued emphasis on developing AI systems that are
transparent and explainable to users, fostering trust and
accountability.
• AI in Decision Support
• Growing use of AI in decision support systems across various
industries, providing insights and recommendations to aid
human decision-making.
• Human-Centric AI
• A focus on designing AI systems that prioritize human well-being,
safety, and ethical considerations.
Future Trends

• As AI continues to evolve, its impact on society
will depend on how we navigate and address
these challenges and opportunities.
• Balancing technological advancements with
ethical considerations and societal well-being is
essential for a positive integration of AI into our
daily lives.
End Note

Artificial Intelligence (AI) & Society.pptx

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