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.
Note that HMPL is more than a theoretical concept. It is happening. Here. Now.
Humanity teaches the big & mighty ones (e.g. GPT4, DALL-e 3) and big & mighty ones provide educational & cognitive services in return.
But what about the "small" ones, the "adaptive" ones, the "personalized" ones, the embedded (or embooked ?) ones ?
0. Can an entity E be considered a "peer" even if it does not have a physical body ?
1. Can AI ever be a "peer" to a human being or is it a fallacy to believe so ?
2. Should an AI communicate what it is doing (e.g. showing 👂 when listening) or what it expects the human peer to do (e.g. show 👄 when H should speak) ?
3. Can You imagine a competence X which is being simultaneously acquired by a human H and a machine M within the context of their common mutual encounter ?
4. Can You imagine a competence A transmitted from H to M during the same encounter whereby competence B is transferred from M to H ?
5. What other question concerning the human-machine education should also be asked ?