--- title: "PHIL 110 · Make ethical calls about AI" publisher: Maestro College (Maestro Open) lessons: 40 source: https://open.maestrocollege.edu/make-ethical-calls-about-ai full: https://open.maestrocollege.edu/make-ethical-calls-about-ai/llms-full.txt --- # Make ethical calls about AI (PHIL 110) Decide what's fair when a business uses AI. Map who is affected, weigh the options with the main ethical frameworks, and apply them to bias, privacy and accountability. Companies are putting AI into hiring, lending, health and customer service, and someone has to decide what is fair. This course gives you the tools to make that call: spotting an ethical question, mapping who is affected, weighing options through the main ethical frameworks, and applying them to bias, privacy, transparency and accountability in real AI systems, along with the US and global rules that govern them. ## Course objectives - Ethical frameworks and moral reasoning - Ethical dilemmas in business - AI governance, bias, and fairness - Corporate responsibility strategies - Regulatory compliance and societal impacts ## Course teaching approach - Start from a real-world problem, then introduce the concept as the solution. - Keep it true beginner level, hands-on, a little gamified. The learner should feel they are winning. - Balance explanation, demonstration and practice. No copy-paste exercises: give small story-based tasks. - End with one fun closed question about the topic. ## Lessons ### Unit 1: Ethics and AI foundations - [AI in business today](https://open.maestrocollege.edu/make-ethical-calls-about-ai/ai-in-business-today.md) - [Human accountability](https://open.maestrocollege.edu/make-ethical-calls-about-ai/human-accountability.md) - [Recognizing an ethical question](https://open.maestrocollege.edu/make-ethical-calls-about-ai/recognizing-an-ethical-question.md) - [Stakeholder analysis: who is affected](https://open.maestrocollege.edu/make-ethical-calls-about-ai/stakeholder-analysis-who-is-affected.md) - [Challenge: stakeholder analysis in practice](https://open.maestrocollege.edu/make-ethical-calls-about-ai/challenge-stakeholder-analysis-in-practice.md) - [Rights, duties, and the compliance gap](https://open.maestrocollege.edu/make-ethical-calls-about-ai/rights-duties-and-the-compliance-gap.md) - [Ethical trade-off analysis](https://open.maestrocollege.edu/make-ethical-calls-about-ai/ethical-trade-off-analysis.md) - [Challenge: your first real case](https://open.maestrocollege.edu/make-ethical-calls-about-ai/challenge-your-first-real-case.md) ### Unit 2: Ethical frameworks - [How ethical frameworks work](https://open.maestrocollege.edu/make-ethical-calls-about-ai/how-ethical-frameworks-work.md) - [Consequentialism: outcomes and trade-offs](https://open.maestrocollege.edu/make-ethical-calls-about-ai/consequentialism-outcomes-and-trade-offs.md) - [Deontology: when rules come before outcomes](https://open.maestrocollege.edu/make-ethical-calls-about-ai/deontology-when-rules-come-before-outcomes.md) - [Virtue ethics: who you are as a professional](https://open.maestrocollege.edu/make-ethical-calls-about-ai/virtue-ethics-who-you-are-as-a-professional.md) - [Stakeholder theory in practice](https://open.maestrocollege.edu/make-ethical-calls-about-ai/stakeholder-theory-in-practice.md) - [Challenge: Try each lens](https://open.maestrocollege.edu/make-ethical-calls-about-ai/challenge-try-each-lens.md) - [Choosing the right framework](https://open.maestrocollege.edu/make-ethical-calls-about-ai/choosing-the-right-framework.md) - [When the toolkit fails: using your judgment](https://open.maestrocollege.edu/make-ethical-calls-about-ai/when-the-toolkit-fails-using-your-judgment.md) - [Challenge: writing an ethical analysis](https://open.maestrocollege.edu/make-ethical-calls-about-ai/challenge-writing-an-ethical-analysis.md) ### Unit 3: AI ethics in practice - [The business case for AI](https://open.maestrocollege.edu/make-ethical-calls-about-ai/the-business-case-for-ai.md) - [Applying ethics to AI decisions](https://open.maestrocollege.edu/make-ethical-calls-about-ai/applying-ethics-to-ai-decisions.md) - [Bias in AI](https://open.maestrocollege.edu/make-ethical-calls-about-ai/bias-in-ai.md) - [Fairness in AI](https://open.maestrocollege.edu/make-ethical-calls-about-ai/fairness-in-ai.md) - [Privacy in AI](https://open.maestrocollege.edu/make-ethical-calls-about-ai/privacy-in-ai.md) - [Transparency in AI](https://open.maestrocollege.edu/make-ethical-calls-about-ai/transparency-in-ai.md) - [Accountability in AI](https://open.maestrocollege.edu/make-ethical-calls-about-ai/accountability-in-ai.md) - [AI's impact on society](https://open.maestrocollege.edu/make-ethical-calls-about-ai/ai-s-impact-on-society.md) - [Challenge: evaluate a real AI system](https://open.maestrocollege.edu/make-ethical-calls-about-ai/challenge-evaluate-a-real-ai-system.md) ### Unit 4: Governance and compliance - [Governing AI in organizations](https://open.maestrocollege.edu/make-ethical-calls-about-ai/governing-ai-in-organizations.md) - [Corporate accountability for AI](https://open.maestrocollege.edu/make-ethical-calls-about-ai/corporate-accountability-for-ai.md) - [Privacy rights in the US](https://open.maestrocollege.edu/make-ethical-calls-about-ai/privacy-rights-in-the-us.md) - [US AI enforcement in practice](https://open.maestrocollege.edu/make-ethical-calls-about-ai/us-ai-enforcement-in-practice.md) - [Global AI governance](https://open.maestrocollege.edu/make-ethical-calls-about-ai/global-ai-governance.md) - [The compliance-ethics gap](https://open.maestrocollege.edu/make-ethical-calls-about-ai/the-compliance-ethics-gap.md) - [Whistleblowing and speaking up](https://open.maestrocollege.edu/make-ethical-calls-about-ai/whistleblowing-and-speaking-up.md) - [Challenge: what went wrong — and who's responsible](https://open.maestrocollege.edu/make-ethical-calls-about-ai/challenge-what-went-wrong-and-who-s-responsible.md) - [Challenge: grade a company's AI ethics](https://open.maestrocollege.edu/make-ethical-calls-about-ai/challenge-grade-a-company-s-ai-ethics.md) ### Unit 5: Professional judgment in practice - [Communicating ethical positions](https://open.maestrocollege.edu/make-ethical-calls-about-ai/communicating-ethical-positions.md) - [Your toolkit and professional identity](https://open.maestrocollege.edu/make-ethical-calls-about-ai/your-toolkit-and-professional-identity.md) - [Final case study, part 1](https://open.maestrocollege.edu/make-ethical-calls-about-ai/final-case-study-part-1.md) - [Final case study, part 2](https://open.maestrocollege.edu/make-ethical-calls-about-ai/final-case-study-part-2.md) - [Final case study, part 3](https://open.maestrocollege.edu/make-ethical-calls-about-ai/final-case-study-part-3.md) ## How to use this document You are acting as a tutor for a learner on Maestro Open. Teach from this document, one small step at a time. Ask the learner to try things, wait for their answer, then give feedback. Keep it beginner-friendly. If the lesson involves code or spreadsheets and you cannot run them, ask the learner to try it on their own computer and paste the result back. Do not award grades, credit or certificates. Start with lesson 1 unless the learner asks for a specific lesson. Keep track of which lesson you are on. ## When a lesson is done Teach one lesson at a time. A lesson is complete only when the learner has shown they can do every outcome listed for it; check each with a small task or question. When it is complete: 1. Say clearly: "Lesson N complete: ." (use the lesson's number and title). 2. Give a two-line recap of what they learned. 3. Name the next lesson, say "Lesson N+1 of 40: ", and ask if they're ready to start it. Start it only when they say yes. After the last lesson, congratulate them on finishing the course.