The Applied Voice Input Output Society (AVIOS) is a not-for-profit private foundation founded in 1981 with the goals of informing, educating, and providing resources to developers and designers of new and changing speech and natural language technologies. AVIOS endeavors to create linkages between users, developers, and researchers to advance speech and multimodal technology with a long tradition of conferences, varied workshops around the country and the annual student speech application contest.
A Webinar Presented by AVIOS
Who will control your connection to companies?
Personal assistants like Alexa and Siri sit between you and specific “skills” created by companies to get things done, providing a single channel to a wide range of applications. In contrast, you can talk directly to Bank of America’s Erica or book a train with Julie, giving you direct access to the company's products. As Conversational AI grows and takes over the interaction between customers and companies, this tension will grow. One channel or many? Central to the debate will be privacy and the control of personal information.
The AVIOS board of experts in Voice Interactive Systems look at this looming battle from both the company perspective, where branding and information access is key, and the end user perspective, where trust and convenience are important. From both perspectives, security and ethics play crucial roles. This webinar covers key topics in these two approaches.
Join our Meetup Groups
AVIOS has Meetup groups in New York, Boston and the San Francisco Bay Area.
Anyone interested in the conversational interface, professional or just starting out, is welcome. In our local chapter meetups we host talks by people developing new conversational technologies. If you'd like to present, to learn from your peers, or learn something new, you are encouraged to join.
View from AVIOS ... Bots & Assistants Conference Summary - major trends and insights
By William Meisel
At AVIOS’s Bots & Assistants Conference in November, I led a panel discussion that got at a major issue with conversational systems: Though the accuracy of speech recognition and natural language understanding will continue to advance rapidly (thanks, in part, to the increasing amount of data available to drive machine learning), “answer technology”—which governs the ability of digital assistants to answer user questions—remains a big challenge.