You Ask, I Answer: Liability for Marketing AI Models?
Jessica asks, “Who’s liable for violations in marketing AI models, the company that hires the vendor, or the vendor? Anything in service agreements to look for?” Who’s liable when someone uses a tool improperly or illegally? Companies have some...You Ask, I Answer: Vetting Marketing AI Vendors for Bias?
Tracy asks, “What are some questions you should ask vendors to better understand what data they use in their algorithms to make sure it’s not biased?” It’s not just questions we need to ask. Consider checking for bias to be like any other audit...You Ask, I Answer: Difference Between Fair and Unfair Bias?
Gianna asks, “What’s the difference between fair and unfair bias? What’s the fine line?” Fair and unfair comes down to two simple things: laws and values. Statistical bias is when your sample deviates from the population you’re sampling...You Ask, I Answer: Detecting Bias in Third Party Datasets?
Jim asks, “Are there any resources that evaluate marketing platforms on the basis of how much racial and gender bias is inherent in digital ad platforms?” Not that I know of, mostly because in order to make that determination, you’d need access to...You Ask, I Answer: Removing AI Bias by Removing Data?
Tammy asks, “There was a talk this week about AI and ML and I was disturbed by a claim a speaker made at the CXL conference. He basically asserted that we should not be concerned about bias being trained into AI because we can just ‘remove the variable...AI for Marketers Book
In this all-new, completely-rewritten Third Edition of AI for Marketers, learn:
- What AI is and isn't
- 5 practical applications of AI in marketing
- Key questions to ask of any vendor claims about AI
- How to prepare your company and your career for AI
