Building Responsible AI: Ethical Principles & Risk Management

2 Units
Online Self-Paced
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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.

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.

Technical Requirements

Course Options

Course Date Units Price

What You Will Learn

  • 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.

Instructors

Professional development courses offered by the University of San Diego’s Division of Professional & Continuing Education are taught by faculty that possess a depth and breadth of academic and real-world professional experience.

Why USD?

The Professional and Continuing Education program nurtures key partnerships on the local, national, and international level. The goal is to better serve working professionals who seek to enhance or build their careers and help achieve their highest value and potential. Contact us today to learn more.

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Learning Method Information

Courses offer a convenient, yet rigorous style of learning that allows you to structure your education to suit your schedule while keeping you on pace toward achieving your educational.

Online Self-Paced

Our online self-paced courses are similar to online fixed-date courses, but are designed to give you a six-month period from time of enrollment to complete all assignments. Your instructor will provide feedback via written responses on your assignments and exams. Grades are based on completed projects, assignments and exams.

How is the self-paced course structured? Like fixed-date courses, online self-paced courses are asynchronous meaning that you can work on your assignments anytime; the difference being there are no assigned due dates in self-paced courses. The content is divided into learning modules. Each module will cover one or more topics. Within each of the learning modules, you can expect the following components:

  • Module introduction that outlines what you can expect to learn in the module.
  • Required readings (textbook, articles, journals, websites, etc.) and presentations (audio and/or video).
  • Assignments (which may include: written assignments, quizzes, blogs, etc.) based on the readings and presentations.
  • Module conclusion to review the topics and what you should have learned.
  • Typically, there is a final project, paper, or exam due in the last module that culminates all of the topics covered in each of the learning modules. You’ll find that the design of the learning modules has a rhythm to help you manage your time in the course.