How to Apply AI at Your Company with Ksenia Palke
How to Apply AI at Your Company with Ksenia Palke
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Building Organizational Trust in AI — Ksenia Palke // Airspace
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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.
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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