Building organizational trust in AI — Ksenia Palke // Airspace
- Part 1How to apply AI at your company — Ksenia Palke // Airspace
- Part 2 Building organizational trust in AI — Ksenia Palke // Airspace
Show Notes
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02:00The lack of organizational trust in AIIt is one of the biggest blockers to AI. One side is not understanding what it is. And if you have been in an industry for a long time, you trust yourself. And you cannot imagine a model replacing you.
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03:32How do you start using AI in your organization?Bad reasons to use AI are because you have this intellectual curiosity, which is great to have, but it's not a good enough reason to start using AI. Until you know what you're using it for, you shouldn't start.
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05:42How do you as CTO present the advantages of mining your data? How do you know if you have enough data or whether you should be programming or training?You dont have to build a productionable solution. You can spend a couple of weeks trying things out, and then you'll see a trend whether something is manifesting out of it, or you just wasted a lot of time and nothing happens.
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11:19The role of the AI directorA liaison of what models need more accuracy, which models arent being used, and keeping teams motivated to use the AI tools.
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12:37Getting teams to use AI modelsYou can get through the engineering hurdle, the bias and ethics hurdles, and the error rate hurdle, and you finally get to a point where the model exists but people dont use it or misuse it.
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15:01The struggle to understand how models work and why they are worth the investmentThe whole AI revolution where you instead of programming, youre training is a massive paradigm shift even for CTOs
Quotes
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“Lack of trust is one of the biggest blockers to AI, especially since we have so much data, computational power, and brilliant minds, but we just might not have the trust. And I think there are two sides to it. One side is not understanding what it is. And if you have been in an industry for a long time, you really trust yourself. And you cannot imagine a model replacing you.” - Ksenia Palke
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“The start to using AI is to know why you want to use it. Bad reasons to use AI are because you have this intellectual curiosity, which is great to have, but it's not a good enough reason to start using AI, or because you feel like you're missing out on something that's developing rapidly. Until you know what you're using it for, you shouldn't start.” - Ksenia Palke
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“You don't have to build a productionable solution; you can spend a couple of weeks trying things out, and then you'll see a trend, whether something is manifesting out of it or you just wasted a lot of time and nothing happens.” - Ksenia Palke
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“There's nothing more demotivating than a model that is not being used. But then, when they're not using the model, a lot of times it's not because they're stupid or evil. It's because it is complex. And there are always reasons for things not to go as planned.” - Ksenia Palke
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“Sometimes people feel like they know how machine learning works. But they are still so used to thinking of if-then engineering in this condition that they just can't move away and take that final leap to understand that it is all about the data.” - Ksenia Palke
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“Overcoming the fear of AI is to frame it as your job becoming more interesting because you will be handling exceptions and your 30 years of experience will be very useful. But now you can stop doing easy tasks and start focusing on something that is truly unique.” - Ksenia Palke
- Part 1How to apply AI at your company — Ksenia Palke // Airspace
- Part 2 Building organizational trust in AI — Ksenia Palke // Airspace
Up Next:
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Part 1How to apply AI at your company — Ksenia Palke // Airspace
As the CTO of your company, it is almost impossible to onlook or resist the urge to deploy AI in some form in your company. But before you make that move, is your company in the gray zone? Are you aware of ethical considerations and AI bias? Who should you hire first a data scientist or a data engineer? Listen to Ksenia Palke, Director of AI at Airspace, as she discusses applying AI in your company.
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Part 2Building organizational trust in AI — Ksenia Palke // Airspace
How do you start using AI in your organization? A bad reason to use AI is that you have this intellectual curiosity, which is great to have, but it's not a good enough reason to start using AI. How do you, as CTO, present the advantages of mining your data? How do you know if you have enough data or whether you should be programming or training? Listen to Ksenia Palke, Director of AI at Airspace, as she discusses building organizational trust in AI.
