Audit and Control of Enterprise Artificial Intelligence (AI):  Maximizing the Gains, Minimizing the Risks - Full Day Seminar with Case Studies

Up to 8 hours of CPE Available
Artificial Intelligence is introducing transformational changes across all aspects of our society. It is delivering insights into complex problems that have eluded humans, providing unique capabilities that in some cases replace humans, and in others outperform humans. Your business most likely has begun to consider or even to adopt AI. But AI is not well understood.

This one-day seminar will provide auditors and managers with an understanding of what AI is (and what it is not), its risks, the methods for auditing and managing those risks and achieving enterprise value from AI, and ultimately how to be a leader in the successful adoption of AI.

Agenda:

• Check In, Breakfast and Networking: 8-830AM
• Speaker 830-10:00AM
• Break 10:00-10:15
• Speaker 10:15-12:00
• Lunch 12:00-1:15
• Speaker 1:15-3:00
• Break 3:00-3:15
• Speaker 3:15-5:00

Intended audience: Internal and External Auditors, I.T. Auditors, Risk Managers, Security Professionals, Business Continuity and Disaster Recovery Managers, IT Management and Staff, Business Managers, Financial Executives, Legal Counsel

Learning objectives: Participants in this seminar will learn:

• What AI is, how it works, and how it can fail
• How AI impacts an organization
  • How an organization may be transformed by AI
  • What steps an organization must take to prepare itself for adoption of AI
  • How key roles in an organization are transformed by the adoption of AI
  • How to adopt AI successfully
• AI risk management
  • What the risks of AI are
  • How to audit and manage AI risks
  • How to construct a control framework for AI
• How to promote successful adoption of AI
  • Governance
  • Data sources and value
  • Project selection and management
  • Effective auditing of risks and controls

 Seminar outline:

1. AI Background
   1. What is AI (and what is not AI)?
   2. Why AI is essential to a business today
   3. Benefits and risks
2. Understanding how AI works (and fails)
   1. Rule-based AI
   2. Data/Deep Learning-based AI
   3. Composite AI
   4. AI can get it wrong
   5. Adversarial Intelligence
   6. Key takeaways
3. Preparing the Organization for AI
   1. Governance
   2. Role of the Board
   3. The AI Ethics Committee
   4. Divisional Roles and transformation
   5. Case Study – Auditing the AI Planning and Governance Structure
4. Launching an enterprise AI Program
   1. Objectives
   2. Team and Project selection
   3. Critical success factors
   4. Risks
   5. Controls
   6. Case Study – “To Do list” for Launching an AI Program
5. Identifying and Managing AI Risk
   1. Axiomatic risk
   2. Corollary risk
   3. Adversarial AI risk (cyber)
   4. Identifying and managing risk
   5. Case Study – Developing a risk profile for a project
6. Conclusion

Speaker: Allan Cytryn

Allan Cytryn is a Principal with Risk Masters International. His 35+ years of experience in senior IT leadership roles includes Regional CIO for Deloitte, Director of Applications for Deloitte, CIO for Simpson Thacher & Bartlett, Vice-President of Corporate Finance at Goldman Sachs, and Group Vice-President for Funds Transfer and Foreign Exchange Systems at Bankers Trust Company. In these roles, Allan’s broad range of responsibilities encompassed all aspects of IT, from strategy through delivery and operations.

Allan began working in AI in the early 1970s, where he developed the first suite of AI systems to support computer assisted design in architecture and planning. This suite of systems reduced the time for facilities planning of large offices from 2-4 weeks to under 5 minutes, while providing a more consistent and higher quality design solution. He subsequently licensed these products to Computervision. Following that, he developed several AI systems that were deployed successfully in the financial services industry. At Goldman Sachs, he led the development of an AI-based multi-currency global equity valuation system that supported the Corporate Finance Department. The system reduced the time to develop equity valuation models from 6 weeks to 5 minutes. Also at Goldman, he developed the first system to use AI to identify “trades of interest” for screening for insider trading. At the law firm of Simpson Thacher & Bartlett, he developed an interactive research system that identified in seconds contextually relevant documents in a repository of more than 2,000,000 documents.

More recently, Allan has been involved in AI policy. In his work with the Boston Global Forum where he is on the Executive Board, he has co-authored with Governor Michael Dukakis and faculty from Harvard, MIT and Brown several papers on AI Ethics. In November, 2019, he presented at the BCI International conference in London on the subject of When your Artificial Intelligence Becomes Adversarial Intelligence: Risk and Control Considerations.

Allan has extensive experience in business transformation through the implementation of innovative high-performance mission-critical 24/7/365 systems in the financial services and related industries, while simultaneously addressing related regulatory and compliance issues. These changes have enabled new services and capabilities that have delivered enhanced client and customer service while increasing operating efficiency, lowering costs, and improving resiliency.

Allan is also highly experienced in all aspects of Business Continuity and Disaster Recovery. At Deloitte, he led the IT recovery after the 9/11 Attack. At Simpson Thacher and Bartlett, he led the recovery after the 1993 NatWest Tower bombing in London. He has developed BCP/DR plans for clients who have successfully deployed them in response to recent hurricanes and flooding in Houston and Miami.

Additionally, Allan’ has extensive global IT experience. He was responsible for building the first global networks at Bankers Trust Company, Simpson Thacher and Bartlett, and Goldman Sachs Corporate Finance. At Deloitte, he established the application development offshoring operation in Hyderabad, India, and subsequently supported the growth of the offshored Audit practice to more than 5,000 employees.

Since 2013, Allan has published and spoken on Cyber-Security, Artificial Intelligence, Management of High-Risk Mission-Critical Projects, and Business Continuity and Disaster Recovery. As an Executive Board member of the Boston Global Forum (www.bostonglobalforum.org), he advised the governments of Japan and Vietnam on national cyber-security strategy and co-authored the cyber-security recommendations presented by the Government of Japan to the G7 Leaders at their May, 2016 G7 Summit in Ise-Shima, Japan.

Allan is an active alumnus of Columbia University, where he received a Bachelor’s Degree in Electrical Engineering and Computer Science, and Master’s Degrees in both Architecture and in Operations Research. He has been a member of the Alumni Board of Visitors of the School of Engineering and Applied Sciences for more than 12 years, where he served as Board Chair, and is also currently the Treasurer of the Society of Columbia Graduates.

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