Building Responsible AI: Ethical Principles & Risk Management

Course Available
2 Units
Online Self-Paced

Course Description

Navigating AI Ethics: Risk Management & Governance

This course explores the ethical, legal, and societal implications of Artificial Intelligence, with a focus on responsible development and governance. Participants will master key principles - including fairness, transparency, and accountability - to guide ethical decision-making in AI systems. By analyzing case studies and regulatory frameworks, learners will gain the practical tools necessary to design, deploy, and audit AI technologies responsibly in real-world contexts.

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
AAI-X801 – 002 Start now, you have 180 days to complete this course once enrolled 2 $599

Building Responsible AI: Ethical Principles & Risk Management

Start now, you have 180 days to complete this course once enrolled
2
$599
Online Self-Paced
Isabella Oakes

Once you have enrolled in your course, log in to your account to access the course Welcome Letter, which includes directions on how to access the New Student Orientation and your online course.

What You Will Learn

  • Define Foundational Principles: Establish a clear understanding of the key concepts, ethical principles, and governance frameworks essential to responsible AI development and deployment.
  • Analyze Ethical and Societal Impacts: Critically evaluate ethical dilemmas and algorithmic biases, assessing their long-term effects on individuals, organizations, and society.
  • Apply Responsible AI Frameworks: Design and implement AI solutions that adhere to ethical guidelines, legal regulations, and industry best practices for fairness, accountability, and transparency.
  • Evaluate Governance and Policy: Navigate global AI regulations and oversight mechanisms to ensure organizational compliance and responsible technology use.
  • Investigate Emerging Trends: Explore the future of AI safety, the potential for super-intelligence, and the strategic role of AI in driving 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.

Informative Stats and Facts

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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 goals.

Online Self-Paced

Our online self-paced courses are designed to provide flexibility and autonomy for learners. Unlike traditional classroom methods, which require attendance at scheduled times, self-paced courses allow you to progress through the material at your own speed within a six-month period from the time of enrollment.  Your instructor will provide feedback via written responses on your assignments and exams. Grades are based on completed projects, assignments and exams.

Key differences from traditional classroom methods:

  • No scheduled class times or required attendance.
  • No assigned due dates for assignments; you set your own schedule.
  • Asynchronous learning, meaning you can work on assignments anytime.
  • No discussion forums and no interaction with others enrolled in the course.
  • No scheduled class times or required attendance.

Structure of Online Self-Paced Courses:

The content is divided into learning modules, each covering one or more topics. Within each module, you can expect the following components:

  • Module Introduction: Outlines what you can expect to learn in the module.
  • Required Readings and Presentations: Includes textbooks, articles, journals, websites, and audio/video presentations.
  • Assignments: May include written assignments, quizzes, blogs, and other activities based on the readings and presentations.
  • Module Conclusion: Reviews the topics covered and what you should have learned.

Typically, there is a final project, paper, or exam due in the last module that synthesizes all the topics covered throughout the course. The design of the learning modules follows a consistent rhythm to help you manage your time effectively. Grades will be available within two weeks of final submission, transcripts will be automatically mailed out following grades being posted and approved. Please allow 3-4 weeks from when final grades are posted to receive a transcript.

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