Plus: An unexpected way to remove bias from your marketing content
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In this issue:
implicit bias
ai prompts
content marketing
In this issue:
implicit bias
ai prompts
Masters In Marketing

I’ve done a fair amount of implicit-bias training in my time, but none of it included AI.

 

Until today… 

 

|   Inside Scoop

 

Inclusive marketer — and former master in marketing — Sonia Thompson joins us this week on how to use AI to remove bias from your content.

Sonia Thompson

How to create AI prompts that eliminate bias and increase conversions 

by Sonia Thompson 

 

As an inclusive marketing strategist and consultant, I am trained to recognize bias when I encounter it. Whenever I review materials and campaigns for clients, I evaluate whether bias, cultural insensitivity, or inappropriate messages have crept into the communications.

 

Many marketers don’t pick up on biases AI produces, which could prove detrimental to marketing efforts and brand reputation if published in the market.

 

To help you use AI more responsibly and effectively, I’ve created some prompts to help you cut out bias.

 

How to Get AI to Help You Identify and Remove Bias 

While AI systems can inadvertently perpetuate biases present in their training data, they can also serve as powerful tools for detecting and mitigating bias in human decision-making processes.

 

By leveraging AI's ability to analyze patterns and flag potential inconsistencies, you can create more objective evaluation frameworks and uncover blind spots that might otherwise go unnoticed.

 

Give the Right Context

Start by providing your AI tool with clear context about its role and perspective. Specify exactly what persona or expert viewpoint the AI should adopt, and define the particular lens through which it should analyze your content when giving feedback.

 

Right from the beginning, I like to tell my AI collaborators that it is a highly skilled, inclusive marketing strategist.

 

That works from a general standpoint for reviewing content on the whole and for broader audiences. However, if you want to be even more specific about the type of feedback you are looking for, tweak the context for that point of expertise.

 

Let’s say you want to understand whether an ad has bias toward consumers over the age of 50. You can prompt your AI companion to review the content through the lens of a marketing expert who has expertise in that consumer base. 

4 prompts you can use today

|   What We're Reading

💻  Here’s exactly how the HubSpot blog team uses AI 


📈  5 performance metrics every marketer should track for revenue growth  

 

⚖️  Content marketing vs inbound marketing (& why they both still matter)  

 

|   Lingering Questions

THIS WEEK'S QUESTION

 

When it comes to building partnerships for CultureCon, how do you decide which people to collaborate with — whether that’s speakers, creators, or community leaders — to make sure they authentically represent CultureCon’s mission and resonate with your audience? —Deesha Laxsav, Senior manager of brand marketing, Clutch 

 

THIS WEEK'S ANSWER

 

Bembury-Coakley: At CultureCon, data is paramount to everything we do. So, we're not making assumptions about our audience, we're not just coming up with ideas. We're really letting that [data] inform everything that you see.

 

So, the programming that you see being hyper-relevant? Our communities told us what they wanted, the brands that they like to engage with, the speakers they wanted to hear from, and we listened to them.

 

I think a lot of brands and communities are sometimes trying to go against the grain, trying to push something on their audience, and it's not what they want. We evolve and iterate [based on data], and that's why the brands and the community and the speakers can come out and have a great time.  

 

NEXT WEEK'S LINGERING QUESTION

 

Bembury-Coakley asks: I think nostalgia is something that's been overdone. I would love to know: What's a better way for brands to engage with communities or consumers that they want to connect with? 

This week's email was brought to you by Laura M. Browning. Story by Sonia Thompson.

 

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