Beyond Biases
Summary
In this conversation, Jim and Jeremy explore the complexities of biases in AI, particularly in the context of medical diagnosis and small business practices. They discusses how generative AI can influence decision-making, the importance of recognizing personal biases, and strategies for mitigating these biases in professional settings. The conversation emphasizes the need for awareness and critical thinking when using AI tools, as well as the ethical implications of their use.TOOLS & RESOURCES
- Harvard Implicit Association Test (https://implicit.harvard.edu/implicit/takeatest.html)
AI'S JOKE
Why did the AI refuse to diagnose itself with a split personality?
I don't know why.
Because it couldn't agree on the data set.
TAKEAWAYS
- AI is improving incrementally and can be humorous.
- Biases in AI are a heavy but important subject.
- Generative AI can influence medical professionals' decisions.
- Self-diagnosis can lead to misconceptions about health.
- Personal biases can affect how we interpret AI outputs.
- AI tools can help challenge our biases if used correctly.
- Biases in AI can stem from the data and prompts used.
- It's crucial to stay informed about biases in technology.
- Small business owners should implement bias mitigation practices.
- Tools exist to help individuals understand their own biases.
CHAPTERS
00:00 Introduction to AI and Humor
00:51 Understanding Biases in AI
06:06 The Role of Generative AI in Medical Diagnosis
10:11 Navigating Personal Biases with AI
15:21 The Complexity of Biases in AI Tools
19:37 Mitigating Biases as Small Business Owners
Creators and Guests
Host
Jeremy Ryan
CIO at Polarity, having fun with innovation, creative technology, and AI (through hard word)
