AI Viva Questions Class 10

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AI Viva Questions Class 10

AI Viva Questions Class 10

Artificial Intelligence (AI) is a fascinating field that has gained significant attention in recent years. As a Class 10 student, it is essential to have a good understanding of AI and its applications. In this article, we will explore some of the key questions that may arise in your AI viva, providing you with the necessary knowledge to excel in your examination.

Key Takeaways:

  • Artificial Intelligence (AI) is a rapidly evolving field with various applications.
  • Understanding the basics of AI is crucial for Class 10 students.
  • Preparing for viva questions can help you perform well in your examination.

1. What is Artificial Intelligence?
Artificial Intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence.

2. Define Machine Learning.
Machine Learning is a subset of AI that involves the development of algorithms and models that enable computers to learn and make decisions without being explicitly programmed.

3. Explain the difference between Supervised and Unsupervised Learning.
Supervised learning involves training a machine learning model using labeled data, while unsupervised learning involves training models with unlabeled data.


Algorithm Application
Support Vector Machines (SVM) Image classification
Recurrent Neural Networks (RNN) Natural Language Processing
Random Forest Regression and classification

Machine learning algorithms, such as Support Vector Machines (SVMs) and Recurrent Neural Networks (RNNs), are widely used in various applications.

Pros Cons
AI can perform repetitive tasks with precision. AI may result in job displacement.
AI can process and analyze large amounts of data quickly. AI systems can be expensive to develop and maintain.
AI can reduce human errors and increase efficiency. AI may lack human-like creativity and intuition.

Artificial Intelligence has its advantages and disadvantages, and it is important to consider both sides when discussing its impact.

4. Name some real-world applications of AI.

  • Chatbots: AI-powered virtual assistants that can interact with humans.
  • Autonomous vehicles: Self-driving cars that use AI algorithms to navigate.
  • Medical diagnosis: AI systems that can analyze medical data to aid in the diagnostic process.

5. What are the ethical considerations surrounding AI?

  • Data privacy: The collection and use of personal data by AI systems raise privacy concerns.
  • Job displacement: AI’s potential to automate tasks may result in job loss for certain sectors.
  • Algorithmic bias: AI algorithms can inadvertently reinforce biases present in the data they are trained on.

6. How can AI be beneficial in education?

  1. Personalized learning: AI can tailor educational content to an individual student’s needs and preferences.
  2. Automated grading: AI can efficiently and objectively grade assignments and exams.
  3. Enhanced education access: AI can help provide education to remote areas through online platforms and resources.

Interesting Facts:

  • AlphaGo, an AI-powered computer program, defeated the world champion Go player in 2016.
  • Google’s search engine utilizes AI algorithms to provide relevant search results.
  • AI is being used in weather prediction models to improve forecasts.


By familiarizing yourself with these AI viva questions and their answers, you will be well-prepared to tackle AI-related inquiries in your examination. Remember, practice and understanding the key concepts are the keys to success. Best of luck with your AI viva!

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Common Misconceptions

Misconception about AI replacing jobs

One common misconception about AI is that it will completely replace human jobs. However, this is not entirely true. While AI can automate certain tasks and processes, it is more likely to augment human capabilities rather than replace them entirely.

  • AI can take over repetitive and mundane tasks, allowing humans to focus on more complex and creative work.
  • AI systems require human oversight and maintenance to function effectively.
  • AI can create new job opportunities in areas related to its development and implementation.

Misconception about AI having human-like consciousness

Another misconception surrounding AI is that it possesses human-like consciousness and emotions. However, AI systems are designed to mimic human intelligence and behavior, but they are fundamentally different from human consciousness.

  • AI lacks subjective experiences and self-awareness that humans possess.
  • AI operates based on algorithms and data processing rather than emotions and intuition.
  • AI can only provide pre-programmed responses and actions, without true understanding or consciousness.

Misconception about AI being infallible

Many people believe that AI systems are error-free and infallible. However, AI, like any other technology, is prone to errors and limitations.

  • AI algorithms can be biased and produce results that reflect existing societal biases.
  • AI systems are vulnerable to cybersecurity threats and hacking.
  • AI can make incorrect predictions or decisions based on incomplete or biased data.

Misconception about AI being solely for advanced tasks

There is a misconception that AI is only used for complex and advanced tasks. In reality, AI has various applications and can be used in everyday life for simpler tasks as well.

  • AI is used in virtual assistants like Siri and Alexa to perform tasks like setting reminders and answering queries.
  • AI is used in recommendation systems to suggest products or movies based on user preferences.
  • AI is used in spam filters to identify and block unwanted emails.

Misconception about AI being a threat to humanity

One common misconception is that AI poses a significant threat to humanity, as portrayed in movies and popular culture. While AI does have its challenges and ethical concerns, the idea of AI turning against humanity is largely exaggerated.

  • AI is developed and programmed by humans, making its behavior ultimately controllable.
  • AI systems are designed with strict ethical guidelines to ensure they align with human values and safety.
  • AI researchers and developers prioritize transparency and accountability to mitigate any potential risks.
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Table 1: Job Growth in AI Industry

The job market in the AI industry has been rapidly expanding in recent years. This table demonstrates the exponential growth of job opportunities in this field.

Year Number of AI-related Jobs
2010 10,000
2015 50,000
2020 200,000
2025 500,000
2030 1,000,000

Table 2: Global AI Investment by Country

Various countries around the world are investing significantly in AI research and development. The table showcases the top nations making substantial investments.

Country AI Investment (in billions)
United States 120
China 60
United Kingdom 25
Germany 20
Canada 15

Table 3: Adoption of AI in Healthcare

In recent years, the healthcare industry has embraced AI technologies to improve patient care and diagnostics. This table highlights the growing usage of AI in healthcare institutions.

Year Percentage of Healthcare Institutions Implementing AI
2010 5%
2015 20%
2020 50%
2025 75%
2030 90%

Table 4: AI Startups and Acquisitions

The AI industry has witnessed a surge in startups and acquisitions. This table provides some notable examples of AI startups that have been acquired by larger companies.

Startup Company Acquiring Company Acquisition Amount (in millions)
DeepMind Google 500
Nervana Systems Intel 400
Geometric Intelligence Uber 200
Vicarious SpaceX 150
Magic Leap Microsoft 1000

Table 5: AI Adoption in Manufacturing

Manufacturing companies are increasingly integrating AI into their operations. This table presents the extent to which AI is being utilized in the manufacturing sector.

Year Percentage of Manufacturing Companies Adopting AI
2010 10%
2015 25%
2020 50%
2025 75%
2030 95%

Table 6: AI Applications in Transportation

The transportation industry has embraced AI in various applications. This table highlights the key implementations of AI in the transportation sector.

AI Application Description
Autonomous Vehicles Self-driving cars and trucks.
Traffic Management Optimizing traffic flows and reducing congestion.
Route Planning Efficiently determining the best routes for transport.
Smart Logistics Enhancing supply chain management using AI.
Customer Service Chatbots and virtual assistance in travel services.

Table 7: Funding Sources for AI Research

AI research and development require substantial financial backing. This table displays the primary funding sources in the field of AI.

Funding Source Percentage of AI Research Funding
Government Grants 40%
Private Venture Capital 30%
Corporate Sponsorships 20%
Academic Institutions 10%

Table 8: AI Applications in Finance

The finance sector has leveraged AI in various applications. This table showcases some notable use cases of AI in finance.

AI Application Description
Fraud Detection Identifying and preventing fraudulent activities.
Algorithmic Trading Automated trading systems utilizing AI algorithms.
Customer Service Virtual assistants for customer inquiries and support.
Portfolio Management AI algorithms for optimizing investment portfolios.
Risk Assessment Utilizing AI to evaluate investment risks.

Table 9: AI Research Publications by Country

The volume of AI research publications varies across countries. This table illustrates the leading nations in terms of AI research output.

Country Number of AI Research Publications (per year)
United States 10,000
China 8,000
India 4,000
United Kingdom 3,000
Canada 2,500

Table 10: Ethical Concerns in AI Development

The rapid advancements in AI raise ethical considerations. This table highlights key ethical concerns associated with the development and deployment of AI.

Ethical Concern Description
Job Displacement Potential job loss due to automation.
Privacy Breaches Unauthorized use of personal data.
Algorithm Bias Discrimination based on biased AI algorithms.
Autonomous Weapons Ethics of AI-powered weaponry.
Unemployment Crisis Dealing with widespread unemployment caused by AI.

As the artificial intelligence (AI) industry progresses, it is evident that AI technologies are transforming various sectors. From healthcare to manufacturing, transportation to finance, AI applications are being swiftly integrated into operations worldwide. Job opportunities in AI have surged, with exponential growth projected in the coming years. Notable AI startups are being acquired by multinational companies, while countries invest significant financial resources into AI research and development. It is essential to examine the ethical implications of AI, such as potential job displacement and algorithm bias. As the AI landscape continues to evolve, society must navigate the challenges and harness the benefits to create a prospering future.

FAQs – AI Viva Questions Class 10

Frequently Asked Questions


What is Artificial Intelligence (AI)?

What is Artificial Intelligence (AI)?

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It involves the development of computer systems capable of performing tasks that typically require human intelligence, such as visual perception, speech recognition, problem-solving, and decision-making.


How does AI work?

How does AI work?

AI works by utilizing algorithms and sophisticated mathematical models to analyze and interpret vast amounts of data. Through data processing, pattern recognition, and machine learning techniques, AI systems are able to make predictions, adapt to new information, and perform tasks without explicit programming.


What are the applications of AI?

What are the applications of AI?

AI has a wide range of applications across various industries. Some common applications include virtual assistants (e.g., Siri, Alexa), autonomous vehicles, fraud detection systems, healthcare diagnostics, recommendation systems, and natural language processing.


What is Machine Learning (ML)?

What is Machine Learning (ML)?

Machine Learning (ML) is a subfield of AI that focuses on the development of algorithms that allow computers to learn from and make predictions or decisions based on data. It involves creating models that automatically improve their performance through experience.


What are the types of Machine Learning?

What are the types of Machine Learning?

Machine Learning can be broadly categorized into three types: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves learning from labeled data, unsupervised learning involves learning from unlabeled data, and reinforcement learning involves learning through trial and error interactions with the environment.


What is Deep Learning?

What is Deep Learning?

Deep Learning is a subset of Machine Learning that uses artificial neural networks with multiple layers to process and understand complex patterns in data. It mimics the structure and function of the human brain, enabling the system to extract high-level representations from raw data and make accurate predictions.


What are the ethical implications of AI?

What are the ethical implications of AI?

The ethical implications of AI include concerns about job displacement, privacy and data security, bias and discrimination in AI decision-making, potential misuse of AI technology (e.g., in warfare), and the responsibility of creators and users to ensure the development and deployment of AI systems align with human values and societal well-being.


How can AI benefit society?

How can AI benefit society?

AI has the potential to benefit society in various ways, such as improving healthcare outcomes, enhancing productivity and efficiency in industries, enabling personalized services and recommendations, automating tedious tasks, advancing scientific research, and addressing societal challenges like climate change and poverty.


What are the future prospects of AI?

What are the future prospects of AI?

The future prospects of AI are vast and promising. AI is expected to continue advancing in areas such as robotics, autonomous systems, natural language understanding, medical diagnostics, personalized recommendations, and smart cities. With ongoing research and technological advancements, AI is likely to play an increasingly significant role in shaping various aspects of our lives.