which supplement a team’s capacity to avoid and mitigate AI bias. Currently, awareness tools are more sophisticated and cover a wide range of model choices and bias measures, while debiasing tools are nascent and can mitigate bias in models only in specific cases. ...
1. Use Technology to Expose Bias Bias has long existed in our society – and so it exists in our data. El Asri sees this as an opportunity. Unlike our own unconscious bias, we can at least uncover bias in an algorithm. To do this, companies need to be auditing their AI for bias ev...
the manager has been hiring mostly men. So the AI learns men are more likely to be programmers than women. And it's a very short leap from there to: men make better programmers than women. We have reinforced our own bias into the AI. And now, it's screening out female...
And what steps does it need to take to minimize bias through technologies like artificial intelligence (AI) rather than perpetuate it? That's the topic for this week's podcast, where my guest is Polly, a talent matching platform. With Polly, we will try to understand how AI and behavioral...
The importance of avoiding bias in recruitment Recruitment bias is deeply embedded in our nature 4 ways to avoid bias in recruitment 1. Use a recruitment software 2. Work on professional and personal growth 3. Standardize your interviewing process 4. Shift the focus of the interview to the skil...
like Partnerships on AI, AI Now, and the European Commission which offer algorithmic accountability templates and cross-collaboration frameworks, are just as important. Additionally, early intervention using bias analyzers, such as those offered by PWC, can help to identify and mitigate hidden biases....
Hack #1: Avoid making decisions under time pressure Our ability to detect and correct an error in judgment significantly worsens when we’re deciding under pressure. Only in very rare cases, there isn’t a choice to take more time to decide. Even in a road accident, it would be wise to...
Erecting guardrails against AI bias With AI adoption increasing rapidly, it’s critical that guardrails and new processes be put in place. Such guidelines establish a process for developers, data scientists, and anyone else involved in the AI production process to avoid potential harm to businesses...
How to Reduce Bias in AI With Appen At Appen, we have spent the last 20+ years annotating data, leveraging our diverse crowd to help ensure you can confidently deploy your AI models. We can help you avoid AI bias that lands you on the list of biased algorithm examples by not only supp...
How to avoid 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 misse...