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: Third Party Data and Trustworthiness?
Ashley asks, “If you choose to use public datasets for your ML models, like from Amazon or Google, can you trust that those are free of bias?” Can you trust a nutrition label on a food product? The analogy is the same. What’s in the box is important,...You Ask, I Answer: What Grade Level for Website Readability?
Tiff asks, “At what reading level should website copy be written? Is it the same as print?” The answer to this question depends on two things: your audience, and what readability score you’re using. There are 5 major readability scores: –...You Ask, I Answer: Can AI Write as Well as a Human?
Deborah asks, “Can AI write as well as a human?” The answer depends on what the human is writing. If it’s complex, original works like novels, the answer is no. If it’s marketing swill, the answer is yes. If we examine some common readability...AI for Marketers Book
In this all-new, completely-rewritten 2nd 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
