  Emerging artificial intelligence (AI) applications often balance the
preferences and impacts among diverse and contentious stakeholder groups.
Accommodating these stakeholder groups during system design, development, and
deployment requires tools for the elicitation of disparate system interests and
collaboration interfaces supporting negotiation balancing those interests. This
paper introduces interactive visual "participation interfaces" for Markov
Decision Processes (MDPs) and collaborative ranking problems as examples
restoring a human-centered locus of control.
