Artificial intelligence, especially that based on machine learning systems, is being used in more products and services around us than ever before. These programs can reflect increased accuracy and expand opportunities, particularly in the area of voice-activated systems and the digital assistants available on mobile devices and in-home products. But there are social and demographic groups that are better represented in the design process, datasets, and user contexts than others. How do we make the AI we use every day better, reflect who we all are, and serve a diverse group of communities’ needs equally well?
In this panel, we will look at voice-activated systems, at home, on mobile devices, and in cars or other commercial applications, to consider how design choices, data collection, and ethics evaluations can affect bias, fairness and accessibility concerns. Join FPF as we seek to find ways to bridge the conversational and developmental gaps between policy professionals and technologists, as well as educating consumers and communities about the advancing capabilities and associated potential risks of voice-activated technologies spreading through more applications in our everyday lives.
You can view a recording of the webinar here