Unconscious Biases: An Interview With LaTonya J. Pegues - Part 1

“The ability to share information and to help other people have opportunities to provide their voice, if you will, to a read can make such a huge difference in what happens and how the audience receives it and how even the customer or the client receives what's being read.” -- LaTonya J. Pegues   For years LaTonya J. Pegues has been known as a person who can provide simple explanations for complex concepts and ideas.  With a background in the performing arts, not to mention having worked as a low-temperature physicist and satellite engineer, LaTonya is a skillful trainer who applies her knowledge and experience in facilitating and guiding clientele towards realizing, meeting, and exceeding their goals and objectives. We're going to speak particularly about how to overcome unconscious bias in audio: where it's showing up for people and how it can be overcome. As always, if you have any questions for my guest, you’re welcome to reach out through the links in the show notes.  If you have questions for me, just visit http://www.audiobrandingpodcast.com/ (www.audiobrandingpodcast.com) where you’ll find all sorts of ways to get in touch. Plus, subscribing to the newsletter (on the http://www.audiobrandingpodcast.com/ (www.audiobrandingpodcast.com) webpage) will let you know when the new podcasts are available.   What We’re Picking Up The episode begins as LaTonya recalls her first memories of sound: the voices of her parents and the joy their excitement brought her as a child. We talk about where our unconscious biases come from, and how pervasive a part of the world they can be, particularly when it comes to audio. "It's because of these social stereotypes that we get just from the air in some instances," she explains, "what's traveling through the air, what we are picking up, and what our brains keeping."   When Bias Gets in the Way We take a look at the reasons we hold onto our biases, and how the thought process behind them isn't always a bad thing. It's when a bias is based o