Learning futures with mixed sentience

• People with disabilities have benefited from the use of assistive technologies that compensate for, or augment functioning.
• Socially assistive robots (SAR) both assist with functioning, and engage users socially, often as service, co- robots and companions.
• Trends in networked learning communities suggest that membership and rules of exchange will define function, engagement and experiences.
• Future communities will likely be characterized by high degrees of interdependence within and varying degrees of openness to outside exchanges.
• The ethics of human-robot exchanges within mixed learning communities are undergirded by respect for the interdependence of robots and humans.