Which of the following best defines Artificial Intelligence?
- Ability of a machine to display human-like capabilities.
- Automated robots.
- Software that can improve its own code.
- The study of algorithms.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines, where they are programmed to think like humans and mimic their actions. This doesn't just mean automated robots, but any software that can process data, learn, and make decisions.
What is the basic function of chatbots in customer service?
- Generating weather forecasts.
- Creating 3D animations.
- Simulating human conversation to assist customers.
- Controlling hardware devices.
The basic function of chatbots in customer service is to simulate human conversation to assist customers. Chatbots are designed to answer customer inquiries, provide information, and perform tasks in a conversational manner, improving the efficiency of customer support operations.
How might federated learning be used to address privacy concerns in AI model training?
- By aggregating model updates on the local devices.
- By sharing user data with third parties.
- By training models on centralized servers.
- By utilizing public datasets.
Federated learning allows model training to occur on local devices, keeping user data decentralized and private. Model updates are aggregated without sharing raw data, thus addressing privacy concerns.
How does "Inverse Kinematics" contribute to robot control?
- It determines the joint angles required to achieve a desired end-effector position.
- It enhances visual recognition.
- It helps robots identify objects.
- It improves battery efficiency.
Inverse Kinematics is used in robot control to calculate the joint angles necessary to achieve a specific end-effector position and orientation. This is vital for controlling the movement and manipulation of robotic arms and limbs.
How can adversarial attacks pose a threat to AI models used in autonomous vehicles?
- They can cause AI models to make incorrect decisions, endangering safety.
- They can compromise the aesthetic design of vehicles.
- They can lead to vehicle system failures.
- They may result in minor passenger discomfort.
Adversarial attacks can pose a significant threat to AI models in autonomous vehicles by causing them to make incorrect decisions. These attacks manipulate input data to deceive AI models, potentially leading to safety hazards on the road.
What is the primary objective of AI governance?
- To ensure that AI technologies are developed and used in a responsible and ethical manner.
- To maximize profits for AI companies.
- To promote government control over AI research.
- To restrict the use of AI technologies.
The primary objective of AI governance is to ensure that AI technologies are developed and used in a responsible and ethical manner. This includes addressing issues such as bias, transparency, and accountability in AI systems.
_______ learning allows model training on a decentralized network to enhance privacy and security.
- Federated
- Reinforcement
- Transfer
- Unsupervised
Federated learning is an approach that allows machine learning models to be trained across multiple decentralized devices or servers, preserving data privacy and security while still benefiting from collective learning.
What is a potential risk arising from non-standardized AI technologies in medical diagnosis systems?
- Faster patient care.
- Improved accuracy in diagnosis.
- Lower healthcare costs.
- Misdiagnosis and treatment errors.
Non-standardized AI technologies in medical diagnosis systems can pose a risk of misdiagnosis and treatment errors. Without standardization, AI systems might not provide consistent and reliable results, potentially harming patient health.
How does collaborative AI differ from traditional AI in terms of decision-making processes?
- Collaborative AI is not used in decision-making.
- Collaborative AI makes decisions without human input.
- Traditional AI involves human-AI collaboration in decision-making.
- Traditional AI relies solely on human decision-making.
Collaborative AI differs from traditional AI by involving human-AI collaboration in decision-making processes. Traditional AI may automate tasks or provide recommendations, but it often requires human oversight and intervention. Collaborative AI actively engages with human decision-makers to jointly make decisions.
Imagine a situation where an AI system responsible for managing critical infrastructure is found to have vulnerabilities that might be exploited by malicious actors. What would be your immediate steps to mitigate risks and ensure continuity of services?
- Disconnect the AI system from the network and shut it down.
- Notify relevant authorities and the public about the vulnerabilities.
- Patch vulnerabilities, monitor the system, and implement additional security measures.
- Ignore the vulnerabilities as they may not be critical.
Immediate actions should include patching vulnerabilities, enhancing security, and monitoring the system. Transparency is also crucial, but it should be done in a responsible and coordinated manner to avoid unnecessary panic.