As artificial intelligence (AI) technologies rapidly evolve and integrate into business operations, the imperative for robust AI governance, risk management, and compliance frameworks becomes critical. This course provides an in-depth exploration of how organizations can implement responsible AI practices that not only align with regulatory standards but also foster ethical innovation and public trust.
Participants will examine the multifaceted challenges organizations face in governing AI systems, including issues related to bias, accountability, transparency, and data privacy. By analyzing case studies from industry leaders such as Google, Mastercard, OpenAI, and Alibaba, learners will gain insights into best practices for mitigating risks associated with AI deployment while ensuring compliance with emerging regulations, including GDPR, FDA, HIPAA, SOX, AML, CCPA, NIST RMF, ISO 42001, and the EU AI Act.
Learn proven methodologies for AI risk management
Navigate GDPR, EU AI Act, NIST RMF, and more
Learn from Google, Mastercard, and OpenAI
GAIX's proprietary AI GRC Assessment Model
Utilizing a risk-based approach, this course equips participants with the tools and frameworks necessary to develop and implement effective AI governance strategies. The curriculum will cover key topics such as ethical AI principles, risk assessment methodologies, compliance strategies, and stakeholder engagement. Through engaging discussions, practical exercises, and real-world case studies, participants will learn how to navigate the complexities of AI governance and position their organizations for long-term success.
In addition, the course will emphasize the importance of fostering a culture of responsibility within organizations by instilling ethical considerations and risk awareness throughout the AI lifecycle. Participants will learn how to create and operationalize governance frameworks that promote responsible AI use while balancing innovation and compliance.
By the end of this course, leaders and decision-makers will be equipped to address the unique challenges posed by AI technologies, ensuring that their organizations not only thrive in the age of digital transformation but do so with integrity and accountability. Emphasizing practical strategies for proactive risk management and compliance, this course is essential for anyone looking to lead in a world increasingly defined by artificial intelligence and its societal implications.
Explore the principles and frameworks that underpin effective AI governance, focusing on the roles of oversight, accountability, and stakeholder engagement in ensuring responsible AI deployment.
Understand current and emerging regulations affecting AI technologies, including GDPR, CCPA, NIST RMF, ISO 42001, the EU AI Act, and more. Learn how organizations can stay compliant while fostering innovation.
Investigate Google's approach to AI governance through its structured principles framework, understanding how it informs ethical decision-making and operational practices.
Analyze Mastercard's model for ethical AI governance, focusing on their strategies for ensuring fairness, accountability, and transparency in AI applications.
Understand the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF), exploring its application in identifying, assessing, and managing risks associated with AI systems.
Delve into GAIX’s approach to governance, risk management, and compliance (GRC) in AI, examining how their proprietary assessment model can help organizations evaluate and enhance their AI governance practices.
Delve into best practices for developing and implementing responsible AI policies that mitigate bias, enhance transparency, and promote ethical usage across an organization.
Identify potential risks associated with AI systems, including operational, reputational, and legal risks. Learn methodologies for assessing and mitigating these risks effectively.
Create a robust framework for ethical AI practices tailored to your organization’s needs, emphasizing the importance of diversity, fairness, and inclusivity in AI development and deployment.
Understand the importance of engaging stakeholders—including employees, customers, and regulators—in the governance process. Explore collaborative approaches to building trust and ensuring accountability.
Examine the critical aspects of data governance, including privacy, security, and compliance. Learn strategies for managing data responsibly, particularly in AI training and deployment.
Discover methodologies for continuous monitoring and auditing of AI systems to ensure compliance with governance frameworks and effectiveness in achieving desired outcomes.
Develop strategies for managing crises related to AI failures or ethical breaches, emphasizing proactive communication and damage control to maintain stakeholder trust.
Explore emerging trends in AI governance, including advances in technology, evolving regulatory requirements, and the rise of ethical considerations amid rapid AI advancements.
Analyze how companies like Google, Mastercard, OpenAI, and others effectively deploy the AI Governance models to manage risk and regulatory compliance.
C-suite executives, CTOs, CIOs, CCOs, and CROs responsible for strategy and governance.
Data Protection Officers and GRC specialists focused on AI governance and compliance.
Professionals ensuring compliance with AI-related laws and regulations.
Data scientists and AI engineers interested in governance and ethical implications.
Government officials and regulatory personnel developing AI policies.
Management consultants providing AI governance guidance to clients.
Ted Talks Speaker; AI Innovation & Leadership Expert; Professor of Innovation, Strategy, and Technology Management
Dr. Nelson Phillips is the Christian A. Felipe Professor, Vice Chair for Academic Affairs, Ph.D. Faculty Advisor, and Distinguished Professor, Technology Management in the College of Engineering at the University of California Santa Barbara. Originally from Canada, he holds a B.Sc. in Electrical Engineering and an MBA from the University of Calgary, as well as a Ph.D. in Organizational Analysis from the University of Alberta. Prior to joining UCSB, Dr. Phillips was Professor of Innovation and Strategy at Imperial College Business School in London, UK where he was also the Associate Dean of External Relations and the Co-Director of the Centre for Responsible Leadership. He was also the Beckwith Professor of Management Studies at Cambridge University’s Judge Business School from 2001 to 2005, and a faculty member in the Faculty of Management, McGill University from 1993 to 2001. He is currently the Co-Editor of Innovation: Management and Organization, sits on the board of governors of the Academy of Management, and is on the advisory board of the Society for the Advancement of Management Studies. Dr. Phillips is also Research Fellow at Cambridge Centre for Social Innovation at Cambridge Judge Business School.
Dr. Phillips serves on the editorial boards of the Academy of Management Journal, the Academy of Management Perspectives, and Research in the Sociology of Organizations. His book Constructing Organizational Life: How Social-Symbolic Work Shapes Selves, Organizations, and Institutions (with Tom Lawrence) was awarded the 2021 George R. Terry Book Award for the book judged to have made the most outstanding contribution to the global advancement of management knowledge during the last two years. In 2018, he was the recipient of the Joanne Martin Trailblazer Award given by the OMT Division of the Academy of Management to recognize scholars who have opened up a new line of inquiry in organization theory. He was also awarded the European Group for Organization Studies award for the best paper submitted to the 2013 annual conference, the SO! What award for the best paper published in Strategic Organization in 2011, the Journal of Management Studies award for the best paper published in the journal in 2008, and the Richard Beckhard Memorial Prize for the most outstanding SMR article on planned change and organizational development published from Fall 2003 through Summer 2004. In 2021, Phillips was elected a fellow of the Academy of Management.
His research interests cut across organization theory, innovation, and technology, and he has published widely for both academics and practitioners including papers in AMJ, AMR, Annals, Organization Science, Harvard Business Review and the Sloan Management Review. He has also written six books including Discourse Analysis (with Cynthia Hardy) and Constructing Organizational Life (with Tom Lawrence). He is currently working on a book on qualitative methods in organizational research to be published by Cambridge University Press and a book on linguistic methods in management research that will be published by Sage.
Dr. Phillips teaches leadership, strategy and digital business at the graduate and undergraduate levels as well as teaching doctoral courses in organization theory and qualitative methods. He is also active in executive education and has delivered modules for a wide range of corporate clients including the London Stock Exchange, Savills, Barclays, ASDA, Panasonic, the NHS, the government of the UAE, and Kuwait Oil.
He is currently researching how hype around emerging technologies “locks in” technology entrepreneurs, how technology entrepreneurs make the decision to pivot in organizations beyond the founding phase, and how entrepreneurial framing leads to moral legitimacy with key stakeholder groups.
Publications Professor Phillips has written four books: Discourse Analysis with Cynthia Hardy published in 2002, Power and Organizations with Stewart Clegg and David Courpasson published in 2006, and Technology and Organization with Graham Sewell and Dorothy Griffiths published in 2010. He is also co-editor of the new Oxford Handbook of Innovation Management with David Gann and Mark Dodgson. He is currently working on a new book on linguistic methods and is editor of the Journal of Management Inquiry.
Beckwith Professor of Management Studies at the Judge Institute of Management, the University of Cambridge from 2002 to 2005 and an Associate Professor in the Strategy and Organisation Area at McGill University in Montreal, Canada from 1993 to 2002. Professor Phillips spent six months in 2000/2001, as the Edward Clarence Dyason Universitas 21 Fellow at Melbourne University in Melbourne, Australia and six months as a Visiting Professor at Bocconi University in Milan, Italy. Professor Phillips completed his Ph.D. in Organisational Analysis from the University of Alberta, Canada in 1995.
Founder and Professor of AI Strategy, Leadership, and Governance
Dr. Riz is the Founder & CEO of Global AI Excellence (GAIX). He is an AI Strategist, AI governance leader, technologist, professor, author, and serial entrepreneur with over 30 years of experience specializing in business and AI strategy, digital transformations, AI governance, risk management, compliance, and AI/ML solutions. His expertise extends to project management, leadership development, and executive education at prestigious institutions, including Harvard, MIT, and the University of Cambridge. As a former Deloitte executive and management consultant, Dr. Riz has empowered the public sector and Fortune 500 companies—including PepsiCo, AT&T, Merrill Lynch, Progressive Insurance, the German Hospitals Group, STERIS Corporation (life sciences and biotech), PARCO (Oil & Gas), and Eaton Corporation—to transform their visions into reality. Moreover, he is an AWS Certified AI Practitioner and AI Early Adopter.
He has held leadership positions, including CEO, Chairman of the IT Board, Senior Executive at Deloitte, and President of the Project Management Institute (PMI) chapter. Dr. Riz has been a keynote speaker and regularly presents at conferences, including those organized by PMI and Intel. He has taught AI strategy, leadership, project management, and entrepreneurship in executive education programs at Harvard, MIT, and the University of Cambridge (UK).
In the last 10 years, Dr. Riz's impactful work with the public sector and large-scale companies has led to cost savings of over $300 million for clients through IT/AI governance, risk management, compliance, program management, and operational efficiencies. Dr. Riz has helped global companies achieve an average of 25% year-over-year revenue increases by formulating and executing business and AI strategies, implementing AI/ML solutions, re-engineering business processes, enhancing business acumen, fostering an entrepreneurial culture, and executing digital transformations. He has enabled organizations to adopt responsible AI while managing risks and complying with applicable laws and regulations.
Dr. Riz has received the "Microsoft Award for Innovative Vision and Dynamic Leadership." He has authored articles on “AI Governance Framework: How to Manage AI Risks and Compliance” and “Managing Projects Successfully through AI and ChatGPT.” He is also the author of "Blue Shark Team-Building: Leading High-Performance Teams during a Crisis," a seminal work offering insights into navigating challenges like COVID-19.
He holds a Ph.D. from SKEMA Business School, an MBA from Cleveland State University, and a B.Sc. in Information Systems from Ohio State University. Moreover, he holds professional certifications, including AWS Certified AI Practitioner, Project Management Professional (PMP), and Certified Scrum Master (CSM).
