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DTSTART:20260713T200000Z
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LOCATION: **Online**
SUMMARY: ACPEN: The Controllership Series:  The Controller's Role in Artificial Intelligence
DESCRIPTION: Here&#39\;s a more detailed look at the controller&#39\;s role in AI:
1. Data Integrity and Quality:
&bull\;    Controllers are responsible for ensuring the quality and integrity of data used to train and inform AI models. 
&bull\;    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:
&bull\;    Controllers assess potential risks associated with AI implementation\, including inaccuracies\, vulnerabilities\, and ethical considerations. 
&bull\;    They help define and implement risk management frameworks for AI\, ensuring that AI systems are used responsibly and ethically. 
3. Compliance: 
&bull\;    Controllers stay informed about relevant regulations and ensure AI systems are compliant with those regulations.
&bull\;    They monitor AI systems to ensure they are not violating any laws or policies.
4. Transparency and Auditability: 
&bull\;    Controllers work to ensure that AI decisions are transparent and auditable.
&bull\;    They establish processes to review AI decisions and identify potential biases or errors.
5. Collaboration and Training: 
&bull\;    Controllers work with IT and business teams to understand AI&#39\;s capabilities and limitations.
&bull\;    They provide training to teams on how to use and manage AI tools effectively.
6. Value Creation:
&bull\;    Controllers can leverage AI to identify areas for automation\, improve efficiency\, and gain real-time insights into financial operations. 
&bull\;    They can use AI to make more informed decisions and create more strategic recommendations for action. 
7. Emerging Role:
&bull\;    The role of the controller is evolving with the rise of AI\, with controllers becoming more hands-on throughout the implementation process. 
&bull\;    They are increasingly seen as catalysts for AI-enabled transformation\, helping to identify potential use cases and build confidence in the technology\n  

This course will explore many of these topics\n 
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