Develop a process to test for bias before sending a model off to users. Ideally, it might be good to run the testing with a different team that can look at the data, model and results with a fresh set of eyes to identify problems the original team might have missed. ...
We also examined through sub-group analysis the section in the article where AI was first mentioned (title, abstract or main text), which we used to explore the possible effect of publication bias as authors may be more likely to include or highlight AI data when the practice is more ...
Dr Pauline Smith is Senior Research Officer, Department of Assessment and Measurement, National Foundation for Educational Research.John Wiley & Sons, LtdInternational Journal of Selection & AssessmentFeltham R, Smith P (1993) Psychometric Test Bias--How to Avoid it. International Journal of Selection...
Don't stop at location either, try to recreate the time constraints, and maybe even the type of questions you'll be quizzed over, and basically make it a dry run that doesn't really have the high stakes of the actual test so that when you actually do take that test, it's as if y...
moderator in-house to facilitate the test. Just delegate this role to someone on your team who didn’t have a hands-on role in whatever you’re testing. For example, the designer wouldn’t be a good facilitator because no matter how hard they try, there will always be some bias ...
Had the team looked for bias, they would have found it. With that awareness, the COMPAS team might have been able to test different approaches and recreate the model while adjusting for bias. This would have then worked to reduce unfair incarceration of African Americans, rather than ...
There are loads of different people you can interview in addition to current customers. Prospects, leads, customer support staff and otherVOC aggregatorsare great for giving you a wider perspective. But this article deals exclusively with customer interviews (those who have already converted) because...
Do you base your new test hypothesis on past learning? Data driven decision making has to be at the heart of your experimentation projects. Powered by our sequentially valid stats engine, our experiment reports with customizable stats options and bias correction help you make reliable decisions in...
Sampling Bias: If there’s any change in the type or behavior of users during the test (for example, a change in traffic source, a product release, or a marketing campaign), it can influence results. Check the following if the A/B test doesn’t achieve confidence: Review Test Setup: ...
Once you've trained your model, how do you know how well it will make future predictions? With ML.NET, you can evaluate your model against some new test data. Each type of machine learning task has metrics used to evaluate the accuracy and precision of the model against the test data se...