Building Responsible AI: Ethical Principles & Risk Management - AAI-X801
Course Description
Upgrade Your AI Knowledge of Risk Management & Ethical Best Practices
This course explores the ethical, legal, and societal implications of artificial intelligence, emphasizing responsible AI development and governance. Students will examine key concepts such as fairness, transparency, accountability, and ethical decision-making in AI systems. Through case studies, regulatory frameworks, and hands-on discussions, this course equips learners with the knowledge and tools to design, deploy, and assess AI technologies responsibly in real-world applications.
Learner Outcomes
- Understand the Foundations of Responsible AI - Define key concepts, ethical principles, and governance frameworks related to responsible AI development and deployment.
- Analyze Ethical and Societal Impacts - Evaluate the ethical dilemmas and biases in AI systems, considering their effects on individuals, organizations, and society.
- Apply Responsible AI Principles - Develop AI solutions that align with ethical guidelines, legal regulations, and best practices for fairness, accountability, and transparency.
- Examine AI Governance and Policy - Assess global AI regulations and policies, understanding the role of oversight mechanisms in ensuring responsible AI use.
- Explore Future AI Challenges and Opportunities - Investigate emerging trends, including super-intelligence, AI safety, and the role of AI in sustainable development.
Course Details
Number of Units: 2.0 graduate level extension credits in semester hours
Who Should Attend: Chief Executive Officers (CEOs); Chief Information Officers (CIOs) and Chief Technology Officers (CTOs); Chief Data Officers (CDOs) and Chief Analytics Officers (CAOs); Chief Operating Officers (COOs); Vice Presidents and Directors of Strategy, Innovation, or Operations; Senior Managers and Consultants in Technology, Data, and Business Transformation; Business Unit Leaders and Functional Managers (e.g., Marketing, Finance, HR, Supply Chain); and Board Members and Senior Advisors.
Required Textbook: Dignum, V. (2019).Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way. Springer. ISBN 978-3030303709. It may be found at Amazon.com or your local bookstore.
Applies Towards the Following Certificate(s), Professional Programs and Series
- AI for Leaders and Executives Certificate : Register for all 4 courses and Pay for the Certificate Fee
Online Self-Paced courses are a perfect blend of accessibility, convenience and flexibility for you to control your learning pace. You will use course textbooks, manuals, assignments and exams to learn and earn credit. Depending on the course, you may also use streaming audio and video, CD-ROM, and download embedded materials through the Internet. Communication with your instructor will take place through your course site online. Your instructor will provide feedback via written responses on your assignments and exams. Grades are based on completed projects, assignments and exams. You can register at any time and you will have six months from the time of registration to complete your course.