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.

Bricout, J., Sharma, B., Baker, P.M.A., Behal, A., & Boloni, L. (2017). Learning Futures with Mixed Sentience. Futures, 87, (March), 91-105.  http://dx.doi.org/10.1016/j.futures.2016.10.001   

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