Please use this form to submit your study for inclusion into our database. It will be checked by a member of the Innovation Growth Lab team, who may be in contact to ask for more information. Your email address * Your name * Title * The name of the study Short summary A brief description of the project's goals and its current state Abstract <p>This study investigates the integration of artificial intelligence (AI) in the screening processes of early-stage innovations, traditionally conducted by human evaluators, across various professional and competitive settings. Through a randomized controlled trial involving around 400 participants from the MIT Solve expert internal screener team and from community leveraged startups screeners, this research explores whether AI-assisted human evaluators or AI-only evaluations enhance the efficiency and quality of decision-making compared to traditional human-only evaluations. Outcomes measured include the time efficiency of evaluations, consistency and convergence of decisions, evaluator confidence, and the overall quality of decisions across three conditions: control (no AI assistance), Treatment A (basic AI assistance), and Treatment B (advanced AI assistance providing detailed rationales). The findings aim to delineate the conditions under which human-AI collaboration optimizes evaluation outcomes of early-stage innovations, contributing to the broader discourse on effectively combining human intuition with AI’s processing capabilities. This could have significant implications for fields requiring precise and timely assessments, such as academic research, grant funding, and competitive selection processes, enhancing both theoretical understanding and practical applications of AI in evaluative tasks.</p> The full abstract of the study, if available Links https://www.socialscienceregistry.org/trials/13525/history/220454 Links to any published papers and related discussions Authors * Affiliations Academic and other institutes that the authors of the study are members of Delivery partner Organisations involved in delivering the trial, if appropriate Year Year Year199419951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023202420252026 Month MonthJanFebMarAprMayJunJulAugSepOctNovDec Day Day12345678910111213141516171819202122232425262728293031 Journal Journal publishing the study, if available Publication stage * Working Paper Published Ongoing Research Forthcoming Discussion Paper Research theme * Entrepreneurship Innovation Business Growth Country Country or countries where this study took place. Topics What sort of topics does the study cover? Sample attributes Hypotheses / research question Sample Trial population and sample selection Number of treatment groups Size of treatment groups Size of control group Unit of analysis Clustered? Yes No Cluster details Trial attributes Treatment description Rounds of data collection Baseline data collection and method Data collection method and data collected Evaluation Outcome variables Results Intervention costs Cost benefit ratio Reference Citation for use in academic references
