David Baltaxe

Unanimous AI, Inc.

Incorporating relevant stakeholder input into conservation decision making is fundamentally challenging yet critical for understanding both the status of, and human pressures on, natural resources. Collective intelligence (CI ), defined as the ability of a group to accomplish difficult tasks more effectively than individuals, is a growing area of i...

We present reports of two original research studies [Aminpour et al. 2020 and Gray et al. 2020] in which we used fisheries examples to empirically demonstrate how the Collective Intelligence (CI) of local fishing communities can be harnessed through pooling their Local Ecological Knowledge (LEK) to provide valuable information for sustainable resou...

Human-in-the-loop (HITL) AI may enable an ideal symbiosis of human experts and AI models, harnessing the advantages of both while at the same time overcoming their respective limitations. The purpose of this study was to investigate a novel collective intelligence technology designed to amplify the diagnostic accuracy of networked human groups by f...

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Technology is disclosed for enabling networked human groups to think together in real-time as an artificial "hive mind," working in combination with machine agents. Specifically, systems and methods are disclosed for real-time collaborative computing and collective intelligence. A hybrid swarm intelligence system includes a central collaboration se...

Group decision-making is strengthened by the diverse knowledge and perspectives that participants bring and yet teams often fail to capitalize on their diversity. This paper shows how Swarm AI, a novel collaborative intelligence technology modeled on the decision-making process of honey bee swarms, enables networked human groups to more effectively...

Group decision-making is strengthened by the varied knowledge and perspectives that each member brings, yet teams often fail to capitalize on their diversity. This paper describes how Swarm AI, a novel collaborative intelligence technology modeled on the decision-making process of honey bee swarms, enables networked human groups to more effectively...

Every year millions of people fill out brackets, trying to accurately predict the outcome of the NCAA Men’s Basketball March Madness tournament. This study examines how collective swarm intelligence might impact these choices in small groups. Rather than working by themselves, groups of people came together to combine their knowledge and opinions a...

Swarm Intelligence (SI) is a biological phenomenon in which groups of organisms amplify their combined intelligence by forming real-time systems. It has been studied for decades in fish schools, bird flocks, and bee swarms. Recent advances in networking and AI technologies have enabled distributed human groups to form closed-loop systems modeled af...

Swarm Intelligence (SI) is a biological phenomenon in which groups of organisms amplify their combined brainpower by forming real-time systems. It has been studied for decades in fish schools, bird flocks, and bee swarms. Recent advances in networking and AI technologies have enabled distributed human groups to form closed-loop systems modeled afte...

Ratings provided by Pilots on workload scales and usability surveys can be biased by subjective differences in perception, experience, skill, emotional state, motivation, and estimation of risk/cost that may be associated with performing a task. Personality dynamics can further compound polarization of issues during pilot debriefings. What if these...

For well over a century, researchers in the field of Collective Intelligence have shown that groups can outperform individuals when making decisions, predictions, and forecasts. The most common methods for harnessing the intelligence of groups treats the population as a “crowd” of independent agents that provide input in isolation in the form of po...

Traditional research into the Tragedy of the Commons (ToC) problem shows individuals acting alone, and teams acting by majority vote, produce outcomes that are at odds with the common good. What is encouraging, however, is that when working together as a real-time dynamic system (i.e. a “human swarm”) the participants in this study did not fall vic...

One conclusion from this survey is clear. Enterprise end users have been migrating to next-generation services for years, but significant percentages, especially among the top-tier corporations spending more than $10 million a year, have not left their legacy services entirely. But that appears to be changing, as the majority of respondents that ar...

Typescript. Thesis (M.A.M.C.)--University of Florida, 1993. Vita. Includes bibliographical references (leaves 115-117).