Artificial Intelligence (AI) is the most transformative technological leap of the 21st century. It powers everything from voice assistants on your smartphone to autonomous cars and disease diagnosis. In Hindi, hum ise kehte hain "Kritrim Buddhimatta (AI) - computer ki sochne aur samajhne ki kshamta".

Click to Zoom

1. What is Artificial Intelligence (AI)?

Artificial Intelligence is a branch of Computer Science dedicated to creating systems capable of performing tasks that typically require human intelligence. These tasks include visual perception, speech recognition, decision-making, pattern discovery, and translation between languages.

• Father of Artificial Intelligence: The term "Artificial Intelligence" was officially coined by American computer scientist John McCarthy in 1956 at the famous Dartmouth Conference.
• The Turing Test (1950): Proposed by British mathematician Alan Turing, this test assesses whether a machine can exhibit intelligent behavior indistinguishable from that of a human being.

2. Major Goals of Artificial Intelligence

The core objectives of AI engineering are:

1. 1
   Creating Expert Systems: Building machines that exhibit intelligent reasoning, explain choices, and advise users (e.g., medical diagnostics, credit scoring).
2. 2
   Replicating Human Capabilities:

• Natural Language Processing (NLP): Enabling computers to read, speak, and understand human languages (Hindi, English, Tamil).
• Computer Vision: Enabling machines to identify objects and faces from photos and video feeds.
• Robotics & Automation: Allowing machines to physically manipulate objects in real-world environments.

1. 1
   Continuous Self-Improvement: Enabling software to learn from mistakes and improve accuracy over time through machine learning algorithms.

Click to Zoom

3. Types of Artificial Intelligence

4. Ethical Concerns in Artificial Intelligence

As AI systems make decisions that affect human lives (such as loan approvals, hiring job candidates, and criminal bail evaluations), several ethical questions arise:

• Algorithmic Bias (Bhedbhav): If historical training data contains prejudices against certain genders, regions, or communities, the AI system will replicate and amplify that discrimination.
• Job Displacement & Automation: Automation of routine office, customer care, and transportation jobs requires workforce reskilling.
• Deepfakes & Misinformation: AI tools can generate hyper-realistic fake videos and cloned voices of political leaders or celebrities, posing threats to social peace.
• Data Privacy: Massive amounts of personal data are scraped from the internet to train large AI models without explicit user consent.

Multiple Choice Questions

1. Who is widely recognized as the 'Father of Artificial Intelligence' for coining the term in 1956?

A. Charles Babbage B. John McCarthy C. Blaise Pascal D. Bill Gates Answer: B Explanation: John McCarthy coined the term 'Artificial Intelligence' at the Dartmouth Conference in 1956 and is regarded as the Father of AI.

2. Which famous benchmark test was proposed in 1950 to evaluate if a machine's conversation is indistinguishable from a human?

A. Richter Test B. Turing Test C. Newton Test D. Speedometer Test Answer: B Explanation: Alan Turing proposed the Turing Test in 1950 to test whether a computer could think and converse like a human being.

3. Which type of AI represents today's existing systems, which excel at dedicated specific tasks like chess or facial recognition?

A. Artificial Narrow Intelligence (Weak AI) B. Artificial General Intelligence (Strong AI) C. Artificial Super Intelligence (ASI) D. Sentient Organic AI Answer: A Explanation: All current AI implementations (including Siri, self-driving cars, and ChatGPT) are categorized as Artificial Narrow Intelligence (ANI) because they are specialized for specific tasks.

4. What is the subset of Artificial Intelligence that enables computers to learn patterns from historical data without being explicitly programmed?

A. Optical Fiber B. Machine Learning (ML) C. Disk Defragmentation D. ASCII Encoding Answer: B Explanation: Machine Learning (ML) is a subset of AI that trains mathematical algorithms on datasets so they can identify patterns and make predictions automatically.

5. What ethical issue arises when an AI recruitment tool unfairly rejects resumes from female applicants due to historical company data?

A. Computer overheating B. Algorithmic Bias C. Cloud latency D. Hardware failure Answer: B Explanation: Algorithmic bias occurs when an AI model inherits and perpetuates human biases present in the training datasets it was provided.