This session on DISCOVERY is one of a three session symposium (July 13, 14 and 15) that brings together thought leaders from the Stanford and mediaX member communities to share recent insights on what similarities in curiosity and learning of humans and machines can be assumed or explored?
Learning is rooted in what it means to be human. Exploration, curiosity, and feedback both fuel and guide development in humans, as well as in science and analytics. This is a lifelong endeavor for humans. Machines and systems, increasingly required to continue a trajectory of learning, rely on patterns, sequences, consistencies, feedback, and new instruction for their improvement. What similarities in curiosity and learning of humans and machines can be assumed or explored?
Over the three days, mediaX thought leaders will share recent insights on important questions:
*In what ways can technological augmentation, simulation, or communication enhance the reciprocity between human and machine learning?
*Toward what reciprocal outcomes will we aspire for human and machine learning?
*How will the assessment of 21st century human learning be like or unlike the assessment of learning in automated systems?
A no-cost registration is required for each session.
EMPOWERMENT: Empowering Digital Instruction through Community and Context
July 13, 8:00am-10:30am (Pacific)
Register for Empowerment Session HERE