2019 International Conference On Computer Aided Design

The Premier Conference Devoted to Technical Innovations in Electronic Design Automation

November 4-7, 2019The Westin Westminster Westminster, CO

v class="event-details"> MP Associates, Inc.

SUNDAY November 04, 5:00pm - 8:00pm | Marseilles
EVENT TYPE: ADDITIONAL MEETING
Bias Buster Workshop @ ICCAD

Speakers:
Gerry Katilius - Google, Inc.
Diana Marculescu - Carnegie Mellon Univ.
Unconscious (or implicit) bias is believed to be a significant factor that inhibits inclusivity and acts to stall or even thwart important efforts for increasing and celebrating diversity. Everyone has implicit or unconscious biases, and because they are unconscious, we are unaware of them. In this workshop, the first of its kind at ICCAD, the basis of implicit bias is presented and effective tools for increasing awareness and mitigation of its unwanted effects are provided. This important workshop is useful to every ICCAD participant—bystanders and advocates alike—who can intervene and effectively bust implicit bias when it occurs, either in themselves or in others. The workshop will present current understanding of what these biases are and how we can reduce their impacts in our behaviors and interactions with others. There will be role-playing activities to give attendees practice at identifying and responding to unconscious bias in day-to- day activities. 

Background: Bias Busters @ Work (BB@Work) was created by Google as an extension of its Unconscious Bias @ Work Workshop (UB@Work), a course aimed at raising awareness of how unconscious biases work, how they can negatively influence workplace interactions, and what tools can help disrupt bias. In 2015, Google and Carnegie Mellon University created the Bias Busters @ University program, with Bias Busters@CMU being a version specifically tailored for Carnegie Mellon, first piloted by CMU’s College of Engineering and School of Computer Science. More information on Bias Busters @ Work: https://rework.withgoogle.com/subjects/unbiasing