The Controllership Series: The Controller's Role in Artificial Intelligence
1.40 Credits
Member Price $39
Non-Member Price $59
Overview
Here's a more detailed look at the controller's role in AI:
1. Data Integrity and Quality:
• Controllers are responsible for ensuring the quality and integrity of data used to train and inform AI models.
• They work to establish data governance frameworks, implement data quality initiatives, and ensure data lineage (tracking data from source to downstream systems).
2. Risk Management:
• Controllers assess potential risks associated with AI implementation, including inaccuracies, vulnerabilities, and ethical considerations.
• They help define and implement risk management frameworks for AI, ensuring that AI systems are used responsibly and ethically.
3. Compliance:
• Controllers stay informed about relevant regulations and ensure AI systems are compliant with those regulations.
• They monitor AI systems to ensure they are not violating any laws or policies.
4. Transparency and Auditability:
• Controllers work to ensure that AI decisions are transparent and auditable.
• They establish processes to review AI decisions and identify potential biases or errors.
5. Collaboration and Training:
• Controllers work with IT and business teams to understand AI's capabilities and limitations.
• They provide training to teams on how to use and manage AI tools effectively.
6. Value Creation:
• Controllers can leverage AI to identify areas for automation, improve efficiency, and gain real-time insights into financial operations.
• They can use AI to make more informed decisions and create more strategic recommendations for action.
7. Emerging Role:
• The role of the controller is evolving with the rise of AI, with controllers becoming more hands-on throughout the implementation process.
• They are increasingly seen as catalysts for AI-enabled transformation, helping to identify potential use cases and build confidence in the technology
This course will explore many of these topics.
Highlights
- Accounting
- Finance
Prerequisites
Suggest other courses in the Controllership Series
Designed For
Controllers, Finance leaders, CFO’s, Executive Management
Objectives
- Trends in AI
- Controller's role in AI
- Specific AI processes for Controllers
- Identify key AI cases
- AI and financial reporting
- AI and fraud cases
- AI and expense management
- AI and improved decision making
- AI and risk assessment
- AI and Supply chain management
- The seven pillars of a trustworthy framework
Preparation
None
Leader(s):
Leader Bios
Lynn Fountain, Sole Proprietor
Lynn Fountain, CGMA, CRMA, MBA, has over 30 years of experience in the business profession, which includes public and industry accounting and over 20 years within internal and external auditing combined. She is a nationally recognized trainer and speaker and also a published author. She is a subject matter expert and specializes in Internal Audit, Sarbanes-Oxley, Enterprise Risk Management, Fraud, Governance and Compliance. Ms. Fountain has held two Chief Audit Executive positions for international companies. She has also been instrumental in the establishment of ERM, Sarbanes-Oxley and Governance frameworks.
Ms. Fountain has developed and delivered leading edge training sessions on the new COSO framework and has assisted companies in identifying risk gap analysis in their individual processes. She currently executes two highly recognized e-workshops for the Institute of Internal Auditors, one on Fraud and the second on Ethics. Both workshops have incorporate aspects of COSO 2013.
Ms. Fountain is in the process of authoring a publication for the IIA Research Foundation on aspects of fraud auditing. The publication is due out in 2015. In addition, she has performed as an adjunct instructor for the School of Business for Grantham University and the School of Business at the University of Kansas. Ms. Fountain obtained her BSBA from Pittsburg State University and her MBA from Washburn University in Kansas.
Non-Member Price $59
Member Price $39