Course Description
In these lessons, you’ll learn about the governance landscape around AI. You will learn about AI alignment with human values and external impacts that are indirectly related to the creation and deployment of any AI system, such as environmental impacts. You will also learn about AI systems that do deliberate harm and dark patterns, deceptive design patterns that are used to influence individuals to perform an action that may not be in their best interest.
Governing bodies are the ones that assign responsibility for various IT initiatives, given business pressures, regulatory obligations, stakeholder expectations, and business needs. In terms of AI ethics, this means that the governing body is ultimately responsible for the decisions, actions, and inactions. Cultural considerations, linguistic conventions, and geographic specifics intersect with ethical AI, because it’s based on how people live and work in a particular place.
Finally, these lessons will provide an overview of eight different themes among AI principles identified by the Berkman Klein Center: privacy, accountability, safety and security, transparency and explainability, fairness and non-discrimination, human control of technology, professional responsibility, and the promotion of human values.
What You'll Learn
- Describe the governance, regulation, and policy structure around AI systems
- Recognize the responsibility of governing bodies for the decisions, actions, and inactions of AI
- Examine AI alignment with human values and the unintended or unethical use of AI
- Consider cultural, linguistic, and geographic factors in AI ethics
- Identify external impacts and harms, including environmental effects and dark patterns
- Review the eight ethical AI principle themes identified by the Berkman Klein Center
Key Takeaways
- The governing body assigns responsibility for IT initiatives based on business pressures, regulatory obligations, stakeholder expectations, and business needs, and is ultimately responsible for AI decisions, actions, and inactions.
- AI ethics involves alignment with human values as well as indirect external impacts such as environmental effects.
- Dark patterns are deceptive design patterns used to influence individuals to perform an action that may not be in their best interest.
- Cultural considerations, linguistic conventions, and geographic specifics intersect with ethical AI because it is based on how people live and work in a particular place.
- The Berkman Klein Center identified eight themes among AI principles: privacy, accountability, safety and security, transparency and explainability, fairness and non-discrimination, human control of technology, professional responsibility, and the promotion of human values.
Frequently Asked Questions
What topics does this course cover?
It covers the governance landscape around AI, AI alignment with human values, external impacts such as environmental effects, deliberate harm and dark patterns, the responsibility of governing bodies, cultural, linguistic, and geographic factors, and an overview of eight ethical AI principle themes identified by the Berkman Klein Center.
What are dark patterns as covered in this course?
Dark patterns are deceptive design patterns used to influence individuals to perform an action that may not be in their best interest.
Which ethical AI principles are reviewed?
The course provides an overview of eight themes identified by the Berkman Klein Center: privacy, accountability, safety and security, transparency and explainability, fairness and non-discrimination, human control of technology, professional responsibility, and the promotion of human values.
What skills does this course relate to?
It relates to skills including applications of artificial intelligence, artificial intelligence systems, artificial intelligence, data intelligence, environmental intelligence, and intelligent systems.
