AI at Work Quiz: Are You Getting the Most From AI Productivity Tools?

A freelance developer uses AI tools to write code for a client project. The client's contract says all work product is owned by the client. Who owns the AI-generated code?

The developer — they ran the AI tool and directed the output The AI tool provider — they created the underlying generation capability The client — the contract's work-for-hire clause governs ownership regardless of how the code was generated No one legally owns AI-generated code

AI generates a login system for your vibe-coded app. What should you do before allowing real users to sign up?

Add a disclaimer to the signup page that the security is AI-generated Test it yourself by logging in successfully Nothing — AI-generated authentication is verified by the AI provider Have a professional developer or security engineer review the authentication implementation before exposing it to real users

What habit best protects a professional from automation complacency when using AI regularly?

Forming an independent take on a problem before asking AI, then comparing and critically evaluating the AI's perspective Limiting AI use to one tool at a time Never using AI for tasks that could affect clients Using only the most expensive AI model to ensure maximum accuracy

Which of these professional tasks is LEAST reliably handled by current AI tools?

Summarizing a long email thread Generating a first draft of a project status update Making final strategic judgment calls that require understanding organizational politics and relationships Translating a document into another language

A software developer's team of 5 now uses AI coding tools that make each developer 50% more productive. What is the likely business implication?

No change — productivity gains in software development are always reallocated to additional features The same team can now deliver the work that previously required 7–8 developers, changing hiring math for similar future projects The company must immediately replace all 5 developers with AI tools The team will need to hire 5 more developers to manage the additional AI output

How does open-source AI software affect the concentration of AI economic power?

Open source guarantees equal AI access for all countries and organizations globally Open-source models (like Meta's Llama and Mistral) allow organizations without billion-dollar compute budgets to access frontier AI, creating a check on concentration — though infrastructure and talent advantages still favor large organizations Open-source AI only benefits hobbyist developers and has no enterprise application Open-source AI has no economic relevance — only commercial models are used in practice

An employee's organization has not published any formal AI use policy. What is the safest assumption about AI use at work?

No policy means all AI tools are approved for any use No policy means AI cannot be used at work under any circumstances Treat sensitive client data, confidential business information, and employee data with the same protection you'd apply to any third-party tool — assume AI APIs are external services No policy means the employee is personally liable for any AI-related incidents

Which AI tool is purpose-built to automatically transcribe and summarize meetings, extracting action items?

Perplexity AI — which is designed for web research ChatGPT — by manually typing what was said in the meeting Adobe Acrobat AI — designed for PDF document review Meeting transcription tools like Otter.ai, Fireflies.ai, or Microsoft Copilot in Teams

For which use case is IP legal review of AI-generated code MOST important?

A personal productivity script running only on your own laptop A commercial software product being distributed to customers, especially if it incorporates code from public repositories A learning project used to practice coding skills An internal team tool not shared outside the organization

You ask an AI to write a project risk assessment and receive a generic, shallow response. What is the best next step?

Switch to a different AI tool — this one is too weak for business tasks Accept the generic output and edit it heavily yourself Iterate with a more detailed follow-up: provide the specific project context, the type of risks to focus on, and the format you need Ask the AI the same prompt a second time without changes