Building Organizational Trust in AI – Ksenia Palke
Building Organizational Trust in AI – Ksenia Palke
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Building Organizational Trust in AI — Ksenia Palke // Airspace
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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.
About The Speaker:
Show Notes
03:41
Doing good is not enough. In the pursuit of AI expect ethical pushback
Many people want to work at a company that does good or at least doesn’t do something evil but in the line of duty, you may have to collect personally identifiable data. In the pursuit of AI and new ideas, you will come to ethical crossroads.
06:45
The gray zone
There are companies in the gray zone that unavoidably have to use personal data to deliver utility. When using AI, you have to avoid crossing over into the unethical.
09:33
AI bias
As you adopt AI services integrated into your company, consider that the models have biases in them.
12:21
Beyond APIs, are there ethical considerations or biases that require more due diligence?
Whether you’re buying data to use or maybe using the model or fully relying on them, you have to have an honest conversation about biases that might be affecting the models.
14:14
Do you really need a data scientist?
Many companies don’t understand that they don’t need to start with a data scientist. They need data engineers or someone who will build the infrastructure and later bring on a data scientist
19:17
Getting started with models and AI
Who comes first, a data scientist or a data engineer?
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