03.19.25
The Pitfalls of AI – Navigating Risks and Responsible Implementation
By Chamber Staff
Speakers from the March 11 Pulse event, left to right: Jimmy Slagle, Blaine Booher, and Max Cossette.
AI is a powerful tool, but it comes with challenges. To ensure responsible and effective implementation, businesses must address data security, accuracy and ethical concerns. At The Pulse of Artificial Intelligence, Jimmy Slagle from GenerAI, Blaine Booher from Emerging Digital Academy, Max Cossette from 701x, and Andrew Young from Abovo shared their expertise for businesses.
Common AI Pitfalls and How to Overcome Them
- Data Privacy and Security: AI relies on vast amounts of data, raising concerns about privacy and compliance. Abovo suggests implementing AI usage guidelines to ensure employees follow security protocols.
- Inaccuracy and Bias: AI is only as reliable as the data it’s trained on. GenerAI combats misinformation by verifying AI-generated content and requesting sources.
- Over-Reliance on AI: While AI automates tasks, human oversight remains essential. Blain Booher from Emerging Digital Academy emphasizes that AI should support—not replace—critical thinking.
How to Get Started with AI in Your Business
- Identify Your Needs: Determine where AI can add the most value.
- Choose the Right Tools: Find AI solutions that align with your business goals.
- Experiment Freely: Test different prompts and settings to learn how AI responds.
- Start Small: Pilot AI with a specific project before scaling up.
The Future of AI in Business
AI is not a magic fix—it’s a tool that requires strategy, refinement and oversight. Businesses that approach AI with curiosity and adaptability will be best positioned for success in the evolving digital landscape.
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