How to Reduce AI Risk While Improving Productivity With Ovetta Sampson

Ovetta Sampson is a prominent technology industry leader, executive design director, and expert in ethical, sustainable, and responsible AI implementation. She was named one of Business Insider's top 15 people in enterprise artificial intelligence and specializes in combining human-centered design principles with machine learning and data science. Through Right AI, Ovetta helps organizations understand and adopt AI responsibly while keeping human judgment at the center of how the technology is used.

Here’s a glimpse of what you’ll learn: 

• [03:05] The important difference between traditional machine learning and generative AI, and why generative AI requires more human judgment.
• [05:15] The copyright, privacy, and other risks businesses should consider when using generative AI.
• [09:35] How inaccurate information can be repeated until people begin perceiving it as true, and why humans must remain responsible for verification.
• [11:10] Why recognizing that AI is a machine, rather than a human, is fundamental to using it responsibly.
• [16:25] How detailed instructions, context, guardrails, examples, and alternative prompting methods can produce better AI results.

In this episode:

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Resources mentioned in this episode:

• Adi Klevit on LinkedIn
• Business Success Consulting Group 
• Ovetta Sampson on LinkedIn
• RightAi
• Ovetta Sampson Website

Quotable Moments:

• “The number one thing that you can do to minimize your risk with using these machines is to recognize they are machines.”
• “We are the humans, and we are the ones who decide what truth and what truth isn't.”
• “We're wired for intimacy. So we tend to project human qualities on inanimate objects.”
• “The number one rule that I teach and train folks who do use these tools on is that they're not dealing with a human, they're dealing with a machine.”
• “Once you understand that machines process information differently than we do, you can create better ways of effectively communicating what you want from them.”
• “Machines work much better with guided, detailed instructions."

Action Steps:

1. Treat AI as a machine, not a person. Don't allow human-like responses to create more trust in an AI-generated answer than it deserves.
2. Create standards for AI use. Define how your team should use AI, what information can be entered, and where human review is required.
3. Verify before publishing or acting. Don't assume an AI-generated statement is accurate simply because it sounds authoritative.
4. Protect sensitive information. Establish clear guidelines for how employees handle client, company, and confidential information when using AI tools.
5. Give AI better instructions. Provide clear context, objectives, scope, guardrails, and examples of what the desired result should look like.
6. Build AI into documented workflows. Determine where AI belongs within a process, define how it should be used, and keep people accountable for reviewing and approving the final output.

Sponsor for this episode:

This episode is brought to you by Business Success Consulting Group.

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