Bioethics and Technology: AI and SocietyActivities & Teaching Strategies
Active learning works for this topic because ethical dilemmas in AI and genetic engineering demand more than abstract discussion. Students need concrete scenarios to test their reasoning, where they can see how principles apply in real decisions. Movement, role-play, and debate help them feel the weight of these choices, not just hear about them.
Learning Objectives
- 1Critique the ethical implications of using AI in decision-making processes, such as loan applications or criminal justice.
- 2Evaluate the potential societal impacts of genetic engineering technologies on human nature and identity.
- 3Compare different ethical frameworks (e.g., utilitarianism, deontology) when analyzing scenarios involving autonomous systems.
- 4Formulate arguments for or against government regulation of advanced technologies based on ethical principles.
- 5Synthesize information from case studies to propose responsible guidelines for the use of surveillance technology.
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Debate Carousel: AI Accountability
Divide class into small groups and set up three stations with scenarios like a faulty autonomous drone or biased facial recognition. Each group debates one side for 8 minutes, records key arguments, then rotates. End with whole-class synthesis of strongest points.
Prepare & details
Who should be held responsible when an autonomous system causes harm?
Facilitation Tip: During Debate Carousel: AI Accountability, set a 3-minute timer per station so groups must focus their strongest points quickly.
Setup: Two teams facing each other, audience seating for the rest
Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer
Ethical Sort: Surveillance Trade-offs
Provide pairs with cards listing surveillance uses, such as tracking public transport or monitoring schools. Pairs sort into 'ethical' or 'unethical' piles and justify choices using principles like privacy and safety. Share and vote as a class.
Prepare & details
How should the government regulate technology that could change human nature?
Facilitation Tip: For Ethical Sort: Surveillance Trade-offs, provide a small stack of sticky notes so students can physically move arguments to organize their thinking.
Setup: Two teams facing each other, audience seating for the rest
Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer
Role-Play Tribunal: Genetic Regulation
Assign small groups roles as scientists, citizens, government officials, and ethicists in a mock hearing on gene editing babies. Groups prepare 2-minute statements, present, then deliberate a decision. Debrief on consensus challenges.
Prepare & details
What ethical principles should guide the use of surveillance for public safety?
Facilitation Tip: In Role-Play Tribunal: Genetic Regulation, assign clear roles (judge, scientist, ethicist, patient) and give each a one-sentence script to keep the scenario moving.
Setup: Two teams facing each other, audience seating for the rest
Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer
Gallery Walk: Tech Harms
Post stations with images of AI harms, like job loss from automation. Individuals or pairs add sticky notes with stakeholder views and solutions, then walk to read and discuss others' inputs.
Prepare & details
Who should be held responsible when an autonomous system causes harm?
Facilitation Tip: During Perspective Gallery Walk: Tech Harms, post guiding questions near each image to prompt deeper analysis as students circulate.
Setup: Wall space or tables arranged around room perimeter
Materials: Large paper/poster boards, Markers, Sticky notes for feedback
Teaching This Topic
Start by making the topic personal. Ask students to share a technology they use daily and brainstorm one way it could cause harm. This builds empathy before theory. Avoid lecturing on ethics frameworks; instead, let students discover principles through structured activities. Research shows that when students grapple with dilemmas first, they retain ethical reasoning better than when definitions come first.
What to Expect
Successful learning looks like students shifting from gut reactions to reasoned arguments that cite ethical principles and evidence. They should begin to weigh trade-offs, recognize nuances in responsibility, and articulate concerns with clarity. Groups should move from polarized opinions to shared understanding through structured exploration.
These activities are a starting point. A full mission is the experience.
- Complete facilitation script with teacher dialogue
- Printable student materials, ready for class
- Differentiation strategies for every learner
Watch Out for These Misconceptions
Common MisconceptionDuring Debate Carousel: AI Accountability, students may claim AI is neutral and unbiased because it lacks emotions.
What to Teach Instead
During Debate Carousel: AI Accountability, redirect students to examine the training data cards provided at each station. Ask them to trace how human biases in data led to unfair outcomes, such as biased loan approvals, and propose fairness checks like auditing algorithms.
Common MisconceptionDuring Debate Carousel: AI Accountability, students may argue that regulating technology always hinders innovation and progress.
What to Teach Instead
During Debate Carousel: AI Accountability, have students compare the provided case studies of Singapore’s AI governance frameworks with examples of unregulated tech harms. Ask them to identify which approach balances safety and progress better in each scenario.
Common MisconceptionDuring Ethical Sort: Surveillance Trade-offs, students may believe surveillance for safety justifies any privacy invasion.
What to Teach Instead
During Ethical Sort: Surveillance Trade-offs, guide students to compare the proportionality of arguments using the 'scale' graphic provided. Ask them to weigh the trade-off between crimes prevented and privacy eroded in real cases like traffic monitoring or facial recognition.
Assessment Ideas
After Debate Carousel: AI Accountability, pose this question to the class: 'If an AI traffic system causes minor accidents to prioritize emergency vehicles, who is responsible: the programmers, the city council, or the AI itself?' Use student responses from their debate notes to assess their reasoning about responsibility and accountability.
After Role-Play Tribunal: Genetic Regulation, provide students with a short scenario about a new genetic therapy. Ask them to write: 1) One potential benefit of the technology. 2) One ethical concern they have. 3) Which ethical principle (e.g., fairness, safety) is most important and why, referencing the tribunal’s principles.
During Ethical Sort: Surveillance Trade-offs, present students with two statements: one arguing for AI surveillance to prevent crime and another highlighting privacy risks. Ask them to identify the main ethical argument in each and whether they support or oppose the technology, briefly explaining their choice using the sort’s categories.
Extensions & Scaffolding
- Challenge: After Role-Play Tribunal, ask early finishers to draft a policy recommendation for genetic regulation based on the day’s arguments.
- Scaffolding: During Ethical Sort, provide a partially completed sort with two extreme arguments (e.g., 'Privacy invasion is always wrong' and 'Safety always comes first') to help students place nuanced cards.
- Deeper: After Perspective Gallery Walk, invite students to research a real-world tech harm case and present how the principles from today apply to it.
Key Vocabulary
| Artificial Intelligence (AI) | Computer systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. |
| Autonomous System | A system that can operate and make decisions independently without direct human control, such as self-driving cars or automated drones. |
| Genetic Engineering | The direct manipulation of an organism's genes using biotechnology, which can involve altering, adding, or deleting DNA sequences. |
| Surveillance Technology | Tools and methods used to monitor, collect, and analyze information about people or places, often for security or public safety purposes. |
| Ethical Framework | A set of principles or guidelines used to determine what is morally right or wrong, helping to structure ethical reasoning and decision-making. |
Suggested Methodologies
More in Ethical Reasoning and Decision Making
Utilitarianism vs. Rights: Ethical Frameworks
Comparing the ethics of the greatest good for the greatest number against the protection of individual rights.
2 methodologies
Deontology and Virtue Ethics
Exploring ethical theories that emphasize duties, rules, and character in moral decision-making.
2 methodologies
Genetic Engineering: Ethical Dilemmas
Discussing the ethical implications of genetic technologies, including gene editing and reproductive technologies.
2 methodologies
Justice in Resource Allocation: Healthcare
Simulating the difficult choices governments must make when resources are limited.
2 methodologies
Poverty and Inequality: Ethical Responses
Examining the ethical obligations of individuals and the state to address poverty and reduce social inequality.
2 methodologies
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