Edge AI and Cloud Computing
AI Implementation in Companies
Social and Economic Implications of AI
Regulation and Policies
AI Privacy and Security
100

What is the main advantage of using Edge AI over Cloud AI?

Faster processing and lower latency.

100

What is a common challenge companies face when implementing AI?

Lack of skilled professionals.

100

What is one economic benefit of AI in the workplace?

Increased efficiency and productivity.

100

What is the goal of AI regulation?

To ensure ethical and safe use of A

100

What is an adversarial attack in machine learning?

It’s when attackers input manipulated data to fool AI models.

200

What kind of devices typically use Edge AI?

Smartphones, IoT devices, and autonomous vehicles.

200

What best practice helps companies integrate AI more smoothly?

Starting with small pilot projects.

200

How can AI affect the job market?

It can automate jobs and create new roles.

200

What region passed the AI Act to regulate artificial intelligence?

The European Union.

200

What is federated learning designed to protect?

User data privacy while training models collaboratively.

300

Why do companies still rely on cloud computing even with Edge AI?

For large-scale data storage and heavy computational tasks.

300

What does "AI readiness" in a company mean?

The company has the infrastructure and mindset to adopt A

300

What’s one risk of AI in terms of social inequality?

It may widen the gap between high- and low-skilled workers.

300

What’s a challenge governments face in regulating AI?

Keeping up with fast technological changes.

300

What is the role of differential privacy?

To ensure individual data cannot be identified in training sets.

400

What’s one cybersecurity risk of using cloud-based AI?

Data breaches due to centralized storage

400

What department often benefits first from AI in companies?

Customer service (e.g., chatbots).

400

How might AI affect access to services in rural areas?

It can improve access via automation and remote support.

400

What principle is key in AI ethics and regulations?

Transparency and accountability.

400

Why are AI systems vulnerable to attacks?

Because they learn patterns that can be exploited.

500

How can hybrid AI systems combine both Edge and Cloud computing?

By processing data locally and syncing with the cloud when needed.

500

What’s a cultural challenge companies face with AI?

Employee resistance or fear of job loss.

500

Why is digital literacy important in the age of AI?

To avoid exclusion and help people adapt to tech changes.

500

What kind of bias can poor regulation fail to address in AI?

Algorithmic or data bias.

500

What is one ethical issue with using AI in finance for fraud detection?

Risk of false positives harming innocent users.