Diversity and Disparate Impacts
AI systems can have different effects on different groups of people due to bias in data, design, or deployment.
Applied Ethics: The Six Lenses
Contested applications of AI — algorithmic hiring, autonomous weapons, medical liability — examined through six ethical lenses. Students construct and defend a reasoned argument from an assigned position while naming the cost of the verdict.
AI systems can have different effects on different groups of people due to bias in data, design, or deployment.
Errors or unfairness in training data, algorithms, or design can cause machine learning systems to make incorrect or discriminatory predictions.
Developers should consider principles like fairness, transparency, and accountability when building AI systems.
Teams can use processes and frameworks to identify and address ethical concerns throughout an AI system's development.
A computer program that writes text can draft an argument from one viewpoint, and that draft can then be checked against the other five viewpoints.
Example cases include using computers to choose job candidates and how this can carry old biases forward, weapons that act without a person controlling them, and who is responsible when a doctor acts on advice from a computer program.
Understanding responsibility frameworks and human oversight mechanisms that ensure AI systems are used responsibly and accountably.
Systematically integrating ethical considerations throughout the entire lifecycle of AI system development and deployment.
Internalizing ethical principles and developing the ability to recognize and navigate ethical dilemmas in AI contexts.
Practicing safe and ethical use of AI tools and systems, recognizing their limitations and potential harms.
Making ethical considerations a natural and instinctive part of one's decision-making about AI systems.
Reasoning through ethical problems using realistic cases and evaluating different perspectives and solutions.
Advocating for and shaping policies and regulations that govern AI responsibly and protect societal interests.
Maintaining human authority over decisions that significantly affect people's lives, rights, or wellbeing.
Identifying and articulating situations where AI creates tensions between competing values and ethical principles.
Working toward AI systems and policies that benefit all members of society, especially marginalized communities.
Argue a real AI case from the point of view you are given, then explain the opposing side fairly. A written legal document that argues the point of view you were given, plus a spoken argument in front of the judges, who then give their decision.
Transfers to: Arguing a position you don’t hold, in writing, before rebutting it.
This deliverable is where students demonstrate
Commands the AI software.
Finds the resources, data, quotes and opinions the article needs.
Makes sure the editor has a file that can be submitted.