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Introduction DDH ()


Introduction

In this Boardroom Dialogue we will discuss the possibility of humans and AIs becoming "peers" in helping each other to acquire skills and competences. 

The dialogue will start with introducing the concept of Human-Machine Peer Learning (HMPL) and exploring its potential to provide a paradigm for constructing human-machine learning curricula from which both humans as well as machines benefit. 

Participants will acquire both the theoretical concept of human-machine peer learning and concrete insights into how HMPL is implemented through the illustration of two prototypical learning scenarios where HMPL is already deployed.

Why ? (my personal narrative)

"obsessed" by human-robot relations from early childhood onwards (hello Johny 5!)

Čapek, Asimov, Turing, Cyberpunk ...

since beginning of my academic life I try to transpose main elements of ontogeny of human intelligence into computational domain (Master: Facial expression recognition; PhD: Computational models of language acquisition)

2011 Paper "Central Problem of Roboethics: from defintion towards solution" provides a potential solution to what AI folks label these days as "Alignment problem"

the solution is: To raise machines as we raise our (own) children.

one of the last pieces of puzzles is "peer learning"

Why and why not ?

To prepare for the discussion which will ensue, please think about the role which machines, AIs - and associated concepts, myths and archetypes - played (until this day) in Your own personal narrative.