Whether intended or not, bias is built into every AI engine. While some biases are more consequential (and noticeable) than others, you should address every bias with equal concern and urgency. If you don’t prioritize bias, you will deliver inaccurate results and potentially alienate large portions of your audience.
While humans are the root of all bias, they are also the key to removing it from your algorithm. Read this white paper to see the areas where you need to be vigilant and the steps you can take to eliminate bias from your AI initiatives.
WHAT YOU'LL LEARN
- Instances of bias that negatively impacted brands
- Reasons why bias occurs and where it is most commonly injected into algorithms
- Three keys to removing bias from your AI initiatives
Applause is the worldwide leader in crowdsourced digital quality testing. With 400,000+ testers available on-demand around the globe, Applause provides brands with a full suite of testing and feedback capabilities. This approach drastically improves testing coverage, eliminates the limitations of offshoring and traditional QA labs, and speeds up time-to-market.