What is another term often used to refer to Narrow AI?
- General AI
- Singular AI
- Strong AI
- Weak AI
Another term often used to refer to Narrow AI is "Weak AI." Weak AI is designed to handle specific tasks or problems and does not possess general human-like intelligence.
If an AI system designed for customer support begins to show a decline in performance due to increased user traffic, how would you mitigate the challenges related to scalability and maintain service quality?
- Implement load balancing and auto-scaling.
- Increase server hardware capacity.
- Optimize the existing AI model.
- Train the AI model on more data.
When an AI system faces scalability issues due to increased traffic, the most effective solution is to implement load balancing and auto-scaling. This ensures that resources are allocated efficiently to handle varying levels of traffic, maintaining service quality and preventing performance degradation.
What role does AI play in developing V2X (Vehicle to Everything) communication in smart cities?
- Enhancing vehicle aesthetics.
- Ensuring comfortable seating arrangements for passengers.
- Facilitating real-time communication between vehicles and infrastructure.
- Optimizing in-car entertainment systems.
AI plays a crucial role in V2X communication by enabling real-time communication between vehicles and various elements of smart cities, such as traffic lights and road infrastructure. This communication enhances safety and traffic management in urban environments.
What is the primary challenge in ensuring data security in cloud-based AI applications?
- Data isolation and encryption.
- Data storage cost.
- Data transmission latency.
- Trust in third-party providers.
One of the primary challenges in ensuring data security in cloud-based AI applications is the trustworthiness of third-party cloud providers. Organizations must rely on these providers to secure their data, making trust and robust security measures crucial.
How would you apply AI to enhance the logistics and supply chain management of a transportation company, ensuring timely deliveries and optimal resource utilization?
- Ignore data analytics and rely on manual processes.
- Minimize the use of AI technologies.
- Overstock inventory to ensure no shortages.
- Use predictive analytics for demand forecasting.
AI can enhance logistics and supply chain management by using predictive analytics for demand forecasting, which helps optimize inventory levels, reduce costs, and ensure timely deliveries. Ignoring data analytics or overstocking inventory are inefficient practices.
Consider a scenario where an AI model designed for hiring inadvertently develops a bias against certain demographic groups. How would you approach rectifying this while maintaining the integrity of the model?
- Retrain the model without considering demographic features.
- Remove the model and replace it with a non-AI solution.
- Conduct a thorough bias analysis, reevaluate data sources, and apply debiasing techniques.
- Ignore the bias as it may not significantly impact hiring decisions.
Addressing bias in AI models involves a systematic approach. You should analyze data, assess model behavior, reevaluate data sources, and employ debiasing techniques to ensure fairness while maintaining model integrity.
In the global context, what is a significant threat to democratizing AI technologies?
- Commercialization of AI research.
- Lack of access to education and resources.
- Open-source AI frameworks.
- Overregulation of AI development.
A significant threat to democratizing AI technologies globally is the lack of access to education and resources. Without equal opportunities for learning and access to AI tools, many individuals and regions are left behind in the AI revolution.
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.