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Artificial intelligence and the risks it may pose for your organization
Is your organization prepared for the potential pitfalls of artificial intelligence? Watch this webinar to understand the complexities and risks that AI can bring, and how to mitigate them.
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key takeaways
What you will learn
- The potential risks associated with AI implementation in businesses.
- Strategies to identify and mitigate AI-related risks.
- Real-world examples of organizations facing AI challenges.
- Best practices for integrating AI responsibly in your operations.
- Insights from industry experts on future AI trends and their implications.
About this event
Stay informed about the emerging threats of AI
Artificial intelligence is transforming industries at an unprecedented rate. However, with great power comes great responsibility. This webinar dives deep into the potential risks AI poses, from ethical dilemmas to operational vulnerabilities. Our experts guide you through practical strategies to identify and mitigate these risks, ensuring your organization can harness AI's benefits while minimizing its threats.
Stephanie Jones
Head of Internal Audit & Risk Management, IdeagenStephanie has been with Ideagen over 13 years in both Service Delivery and Product Management roles. Prior to joining Ideagen, she was a practicing Internal Auditor/Manager for 12 years, leading SOX teams and managing audit workpaper systems and training. She is passionate about Internal Audit and volunteered for the Institute of Internal Auditors (IIA) for 15 years at the local chapter level and North America committee level.
Amanda Whitbrook
Machine Learning Expert, IdeagenAmanda Whitbrook has worked in the field of AI and machine learning for over 15 years, both in academia (University of Nottingham, Loughborough University, University of Derby) and industry (BAE Systems, Ideagen). She has worked on various projects including novel artificial immune systems for robotic navigation, data fusion techniques for situational awareness, novel multi-agent task allocation systems, OCR for engineering drawings, and NLP to enhance customer experience for legislation software.
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