Unveiling The Future Of AI

Advertising Podcast with Kenneth Wenger

On this episode of the Duct Tape Advertising Podcast, I interview Kenneth Wenger. He is an writer, a analysis scholar at Toronto Metropolitan College, and CTO of Squint AI Inc. His analysis pursuits lie on the intersection of people and machines, making certain that we construct a future primarily based on the accountable use of expertise.

His latest e-book, Is the Algorithm Plotting In opposition to Us?: A Layperson’s Information to the Ideas, Math, and Pitfalls of AI. Kenneth explains the complexity of AI, demonstrating its potential and exposing its shortfalls. He empowers readers to reply the query: What precisely is AI?

Key Takeaway:

Whereas vital progress has been made in AI, we’re nonetheless on the early levels of it’s growth. Nevertheless, the present AI fashions are primarily performing easy statistical duties quite than exhibiting deep intelligence.The way forward for AI lies in creating fashions that may perceive context and differentiate between proper and flawed solutions.

Kenneth additionally emphasizes on the pitfalls of counting on AI, significantly within the lack of expertise behind the mannequin’s decision-making course of and the potential for biased outcomes. The trustworthiness and accountability of those machines are essential to develop, particularly in safety-critical domains the place human lives might be at stake like in medication or legal guidelines. Total, whereas AI has made substantial strides, there may be nonetheless an extended approach to go in unlocking its true potential and addressing the related challenges.

Questions I ask Kenneth Wenger:

• [02:32] The title of your e-book is the algorithm plotting in opposition to this can be a little bit of a provocative query. So why ask this query?
• [03:45] The place do you assume we actually are within the continuum of the evolution of AI?
• [07:58] Do you see a day the place AI machines will begin asking questions again to individuals?
• [07:20] Are you able to identify a specific occasion in your profession the place you felt like “That is going to work, that is like what I needs to be doing”?
• [09:25] You’ve each layperson and math within the title of the e-book, may you give us form of the layperson’s model of the way it does that?
• [15:30] What are the actual and apparent pitfalls of counting on AI?
• [19:49] As individuals begin counting on these machines to make selections which might be supposed to be told numerous occasions, predictions might be flawed proper?

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