Artificial Intelligence Employment Routine and Repetitive Tasks Skilling Human AI Collaboration Transformation of Industries Ethical Considerations

1. Artificial
Intelligence &
Employment
Dr. A. Prabaharan
Professor & Research Director
Public Action
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2. AI &
Employment
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The integration of Artificial
Intelligence (AI) into the
workforce has significant
implications for
employment across various
industries. Here are key
aspects of how AI impacts
employment:

3. Job
Displacement
andAutomation
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Routine and RepetitiveTasks
AI technologies are capable of automating
routine and repetitive tasks, which can lead
to the displacement of certain jobs,
especially in industries where automation is
more feasible.
Increased Productivity
Automation can lead to increased
productivity, allowing workers to focus on
more complex and creative tasks whileAI
handles routine activities.

4. Creation of NewJobs
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 AI-related Professions
 The rise ofAI creates new job opportunities in
AI development, data science, machine
learning, and related fields.There is a growing
demand for skilled professionals with expertise
in AI technologies.
 AI Implementation and Maintenance
 Companies need personnel to implement,
maintain, and optimize AI systems, leading to
the creation of jobs in AI support and
maintenance roles.

5. Skill
Requirements
andUpskilling
 Shift in Skill Demands
 The integration of AI into the workforce
requires a shift in skill demands.There is an
increasing need for skills related to data
analysis, AI development, and digital literacy.
 Lifelong Learning
 Continuous learning and upskilling become
crucial as technology evolves. Individuals need
to adapt to new technologies and acquire skills
that remain in demand.
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6. Human-AI
Collaboration
 Augmented Intelligence
 AI is designed to augment human capabilities rather than
replace them entirely. Human-AI collaboration becomes
more prevalent, emphasizing the strengths of both humans
and machines.
 Data-Driven Decision-Making
 AI systems provide data-driven insights, aiding human
decision-makers in making more informed and efficient
decisions across various domains.
 Strategic Planning
 AI contributes to strategic planning by analyzing vast
amounts of data to identify patterns, trends, and potential
risks or opportunities.
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7.  Transformation of
Industries
 Industry Disruption
 The integration of AI can lead to the
transformation and disruption of entire
industries.While some jobs may be displaced,
new opportunities and job roles may emerge
in innovative sectors.
 DigitalTransformation
 Industries undergo digital transformation as
they adoptAI technologies, leading to
changes in business models, processes, and
workforce requirements.
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8. Ethical Considerations
 Fairness and Bias
 Ethical considerations in AI include addressing
issues of fairness and bias in algorithms,
ensuring that AI systems do not perpetuate or
amplify existing societal inequalities.
 Job Quality
 Ensuring that AI implementation contributes to
job quality, worker well-being, and fair labor
practices is an ethical consideration in the
integration of AI in employment.
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9. Public Policy and Regulation
 Workforce Planning
 Policymakers need to consider workforce
planning strategies to address the impact of AI on
employment.
 This includes education and training initiatives to
prepare the workforce for the changing job
landscape.
 Regulatory Frameworks
 The development of regulatory frameworks is
essential to ensure responsible AI deployment,
protect workers' rights, and address potential
challenges related to job displacement.
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10.  FutureTrends
 Reskilling Initiatives: Continued emphasis on
reskilling and upskilling initiatives to prepare the
workforce for the evolving job market.
 AI in Remote Work
 The integration of AI technologies in remote work
scenarios, contributing to virtual collaboration,
productivity, and efficiency.
 Human-Centric AI Design
 A focus on designing AI systems that prioritize
human well-being, job satisfaction, and
meaningful work.
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11. Thank you
someone@example.com
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