The mediaX 2021 Conference: Building Reciprocity with Curiosity and Feedback in Humans and Machines, will take place over three sessions (July 13, 14 and 15). The multiple days and various times have been created to accommodate our global audiences. A no-cost registration is required for each session. Below are additional details for the three days.

EMPOWERMENT: Empowering Digital Instruction Through Community and Context
July 13, 8:00am-10:30am (Pacific)
Register For Day 1 HERE

DISCOVERY: Exploring Digital Discovery Strategies
July 14, 1:00pm-3:30pm (Pacific)
Register For Day 2 HERE

FEEDBACK: Creating Mutually Beneficial Feedback Loops
July 15, 5:00pm-7:30pm (Pacific)
Register For Day 3 HERE

Exploration, curiosity, and feedback fuel and guide development in humans, as well as in machines. For both this is an ongoing endeavor. Learning is rooted in what it means to be human. Machines and systems, increasingly required to continue a trajectory of learning, rely on patterns, sequences, consistencies, feedback, and new instruction for their improvement.

Over three days, mediaX thought leaders will share recent insights on important questions:

* What similarities in curiosity and learning of humans and machines can be assumed or explored?

*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 21^st century human learning be like or unlike the assessment of learning in automated systems?

Full Schedule: (All Times Pacific)
EMPOWERMENT – Tuesday, July 13, 8:00am-10:30am
“The Influence of Culture, Community and Context on Learning”
Industry Panel: “Designing Systems for Digital Instruction”
“Inclusive Innovation for Developing Relevant Learning Assessments”

DISCOVERY – Wednesday, July 14, 1:00pm-3:30pm
“A Taxonomy for Curiosity in Humans and AI”
“Limitations for Curiosity and Discovery in Open AI – GPT-3”
mediaX & NOVIM Awards

FEEDBACK – Thursday, July 15, 5:00pm-7:30pm
“Leaky Abstractions for Designing AI Experiences”
Industry Panel: “Teaching AIs to Provide Feedback to Humans”