Unveiling The Future Of AI

Marketing Podcast by Kenneth Wenger

In this episode of the Duct Tape Marketing Podcast, we interview Kenneth Wenger. he Author, Researcher at Toronto Metropolitan University, CTO of Squint AI Inc. His research interests lie at the intersection of humans and machines, ensuring that the future is built on the responsible use of technology.

his latest book, IAlgorithms Attacking Us?: A Layman’s Guide to A Concepts, Mathematics, and PitfallsI. Kenneth explains the complexity of AI, demonstrates its potential, and exposes its shortcomings. He helps readers answer the question, “What is AI all about?”

Important points:

AI has come a long way, but we are still in the early stages of development. However, current AI models are primarily performing simple statistical tasks rather than exhibiting deep intelligence. The future of AI lies in developing models that understand context and can distinguish between correct and incorrect answers.

Kenneth also highlights the pitfalls of relying on AI, particularly the lack of understanding behind the model’s decision-making process and the potential for biased results. Reliability and accountability of these machines are critical to their development, especially in safety-critical areas like medicine and law, where human lives can be at risk. Overall, AI has made great strides, but it still has a long way to go to unlock its true potential and address the challenges that come with it.

Questions to ask Kenneth Wenger:

• [02:32] The title of your book is the algorithm you plotted against this. This is a slightly provocative question. So why ask this question?
• [03:45] Where do you think we really are on the evolutionary continuum of AI?
• [07:58] Do you think the day will come when AI machines will ask questions back to people?
• [07:20] Can you give a specific example in your career where you felt like, “This works, this seems like something I should do”?
• [09:25] The title of the book has both layman and mathematics in it, can you give me the layman’s version of how it’s done?
• [15:30] What are the obvious pitfalls of relying on AI?
• [19:49] As people start to rely on these machines to make more informed decisions, the predictions can be wrong, right?

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