Gregory Courand

 Gregory Courand

Background: PhD, Distributed Artificial Intelligence, Stanford. Mapping and modeling human systems (applications/clients in defense, intelligence, crisis response, Space Station, hospitals and clinics, city government, nonprofits, foundations) -- for purposes of explanation, forecasting, risk analysis, design, change, advising, partnership formation. Development of theory, methodology, and technology to aid this work.
 
At SJSU: lecture on the relationship between critical technologies and the human systems that form, sustain, and are influenced by these technologies and the aggregated conditions they create. Samples: AI, genomics, robotics, social media, IoT, etc. Special attention is paid to ethical implications — whether and how well human systems flourish through time, as a function of given technologies. All of this is offered in the context of the many large-scale challenges for human well-being that are emerging now and that are likely to dominate the next decades … climate crises, disease, migration, resource contention, wealth disparities, etc.

Foundational research thrusts: the first is the development of a socio-cognitive and choice-based foundation for normative ethics. This focuses on the way social arrangements (and so ongoing harm and risks) are propagated by acculturating new entrants, and then on the potential for disruptive change initiated at key choice moments. The second is the creation of a rigorous formal representation for a new "hybrid intelligent systems" science.These are systems composed of human actors and intelligent artificial actors (not full sentience, but, autonomous, value-learning, and volitional). The representation is intended to offer a shared scientific language for describing, designing, analyzing, managing, and examining the ethical qualities of these hybrid intelligent systems.
 
Please see Digital Technology, EpiGenetic Social Systems, and Generative Ethics for a very brief overview of the concepts that ground Dr. Courand's research.