Marketing Podcast with Kenneth Wenger
On this episode of the Duct Tape Marketing 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, guaranteeing that we construct a future primarily based on the accountable use of expertise.
His latest e book, Is the Algorithm Plotting Towards 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 important progress has been made in AI, we’re nonetheless on the early levels of it’s growth. Nonetheless, the present AI fashions are primarily performing easy statistical duties somewhat than exhibiting deep intelligence.The way forward for AI lies in growing fashions that may perceive context and differentiate between proper and unsuitable solutions.
Kenneth additionally emphasizes on the pitfalls of counting on AI, notably within the lack of know-how 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 may very well be at stake like in drugs or legal guidelines. General, whereas AI has made substantial strides, there’s nonetheless a protracted solution 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 towards it is 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 folks?
- [07:20] Are you able to identify a selected 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 might have each layperson and math within the title of the e book, might you give us type of the layperson’s model of the way it does that?
- [15:30] What are the true and apparent pitfalls of counting on AI?
- [19:49] As folks begin counting on these machines to make selections which are supposed to learn a whole lot of occasions, predictions may very well be unsuitable proper?
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This episode of the Duct Tape Advertising and marketing Podcast is dropped at you by the HubSpot Podcast Network.
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