This presentation a sure and short description about introduction to artificial intelligence and it's advantages and disadvantages and it's impact on progress of india and the future of artificial intelligence
This covers the description
Introduction to artificial intelligence
Advantages ...
This presentation a sure and short description about introduction to artificial intelligence and it's advantages and disadvantages and it's impact on progress of india and the future of artificial intelligence
This covers the description
Introduction to artificial intelligence
Advantages of artificial intelligence
Disadvantages of artificial intelligence
Impact on Indian jobs and work culture
Future of artificial intelligence
Effects of artificial intelligence on the minds of the people
It explains the India's role in artificial intelligence
It gives the description about the working of artificial intelligence
It aims to explain the people about the artificial intelligence
Size: 1.29 MB
Language: en
Added: Nov 02, 2025
Slides: 11 pages
Slide Content
R. R. Educational Trust’s B.Ed. College
NAAC Accredited, Affiliated to University of Mumbai
Name : Ashish Shivprakash Tiwari
Subject: Guide To Google
Topic: Introduction to A.I ( artificial intelligence)
Class : F.Y.B.Ed.
ARTIFICIAL
INTELLIGENCE (AI)
Contents
1)Introduction to artificial intelligence
2)Working of artificial intelligence
3)Advantages of artificial intelligence
4)Disadvantages of artificial intelligence
5)India's progress in artificial intelligence
6)Impact of Artificial intelligence in India
Introduction to A.I
Artificial intelligence (AI) is a technology that enables machines and
computer systems to perform tasks that typically require human
intelligence. These tasks include learning, reasoning, problem-solving,
perception, understanding language, and decision-making. AI systems can
analyze vast amounts of data, recognize patterns, and autonomously make
decisions to solve complex problems. AI technologies are applied in various
fields such as healthcare, finance, e-commerce, transportation, and
everyday tools like virtual assistants and recommendation systems.
Working of A.I
Artificial intelligence (AI) works by mimicking human intelligence using computer systems that
analyze data, recognize patterns, make predictions, and learn from past experiences. The general
process involves five key steps:
Inputs: AI systems collect data from various sources such as text, images, video, or sensor data. This
raw data is categorized and prepared for processing.
Processing: AI algorithms—such as machine learning, deep learning, and neural networks—analyze
the input data to recognize patterns and decipher complex information using techniques like
classification, regression, and clustering.
Outcomes: Based on the data patterns, the AI generates predictions, classifications, suggestions, or
other results relevant to the task.
Adjustments: AI learns from its mistakes and feedback by updating its models or parameters,
improving accuracy over time through methods like retraining or fine-tuning.
Assessments: The performance and reliability of the AI system are evaluated using metrics such as
accuracy and fairness to ensure the system works effectively and ethically.
Advantages of A.I
The disadvantages of artificial intelligence (AI) include a variety of social,
technical, and ethical challenges:
Lack of Creativity and Emotional Intelligence: AI systems lack true creativity and
can't genuinely understand or manage human emotions, limiting their
effectiveness in roles requiring empathy and original thinking.
Job Displacement: AI automation threatens many jobs, especially those involving
routine tasks, leading to unemployment and social inequality without effective
management.
Overdependence and Reduced Human Skills: Increasing reliance on AI can result
in diminished human critical thinking, problem-solving, and decision-making
skills, as people may defer too much to AI systems.
Privacy and Security Concerns: AI often requires vast amounts of data, raising
risks of data breaches, misuse, surveillance, and loss of personal privacy.
India's progress
National AI Mission and Strategic Focus: India’s government launched the National AI Mission to integrate AI
across sectors like healthcare, agriculture, and education, emphasizing talent development, data accessibility,
R&D, and public-private partnerships to establish India as a global AI leader.
Infrastructure and Ecosystem Growth: India has invested in AI infrastructure with AI-dedicated cloud centers,
GPU farms, and sovereign data lakes, enabling affordable access to high-end computing for startups,
researchers, and enterprises, promoting innovation especially in tier 2 and tier 3 cities.
Startup and Talent Development: India fosters a vibrant AI startup ecosystem with government support schemes,
and focuses heavily on developing AI talent through fellowships, training programs, and AI labs, preparing a
workforce ready for future AI-driven jobs.
Ethical AI and Global Leadership: India prioritizes ethical and sustainable AI development, transparency, and
inclusivity, aiming to lead global AI governance initiatives and launching domestic foundational AI platforms
tailored to Indian languages and contexts by 2025 end.
India's progress
Key developments include:
AI-powered automation boosting productivity while reshaping job markets, necessitating upskilling and retraining.
Advances in multimodal AI that integrates text, voice, images, and video for more natural human-computer interaction.
Increased accessibility of AI through no-code platforms enabling wider adoption by businesses and individuals.
Growth in specialized AI applications such as precision agricultural robots, autonomous vehicles, healthcare diagnostics,
and cybersecurity.
Potential emergence of Artificial General Intelligence (AGI) that can autonomously improve itself, although speculative.
By 2030, the AI market is projected to expand significantly, shaping new business models and creating substantial
economic impact. Navigating this future will require careful governance, ethical frameworks, and readiness strategies
to maximize benefits and minimize risks like job displacement and AI errors.
Overall, AI's future is one of steady evolution with the possibility of transformative breakthroughs, demanding
proactive adaptation from individuals, organizations, and societies to harness its full potential effectively