Ethics in AI Trivia Game- E125 Project

Automate jobs by creating opportunities for displaced workers.

Automate as many jobs as possible to increase efficiency.

Avoid automation entirely to preserve current jobs.

Leave decisions about automation to policymakers.

Choose the action that causes the least amount of damage overall.

Program the car to prioritize the passenger’s safety over others.

Ignore the ethical dilemma and allow the car to decide autonomously.

Never take an action that intentionally harms someone, even if necessary.

Use renewable energy only if it reduces training costs.

Ignore environmental concerns if the models are profitable.

Maximize societal benefit with efficient energy use while minimizing harm.

Prioritize faster model training over environmental considerations.

Prioritize projects based on personal interest.

Avoid using resources until all stakeholders agree.

Allocate resources evenly, regardless of impact.

Focus on projects that benefit the most people.

Protect privacy as an absolute duty, regardless of the AI's benefits.

Allow privacy breaches if the system improves performance.

Balance privacy with public benefits.

Ignore privacy issues if no one complains.

Ignore the bias if it doesn’t affect their role directly.

Work to remove the bias because integrity demands fairness.

Keep the system unchanged if it benefits the organization.

Wait for regulations to address the bias.

Ensuring the AI adheres strictly to legal guidelines.

Maximizing the profits of the AI developer.

Improving care quality for the majority of patients.

Guaranteeing care for one specific group of patients.

Justify the violation if it benefits the majority.

Refuse to deploy the system, as breaking principles is unacceptable.

Ignore the issue if the system passes legal review.

Suggest temporary use until a better system is developed.

Creating a tool that promotes equity, compassion, and lifelong learning.

Designing the system for maximum efficiency, regardless of fairness.

Following only the client’s instructions.

Ensuring the system is cost-effective above all else.

Ensuring the system runs efficiently.

Protecting the AI from cyberattacks.

Preventing discrimination against certain groups.

Maximizing the AI's profitability.

It could decrease crime rates.

It might reinforce societal biases and lead to unfair profiling.

It reduces the workload for law enforcement.

It requires a large amount of funding.

To make the system’s outputs more aesthetically pleasing.

To help users trust and understand how decisions are made.

To ensure faster processing times.

To prevent competitors from copying the system.