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>The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic behavior by agents. We theorize that domain expertise of users can complement ML by mitigating this bias. Our observational and experimental analyses in the patent examination context support this conjecture. In the face of “input incompleteness,” we find ML is biased towards finding prior art textually similar to focal claims and domain expertise is needed to find the most relevant prior art. We also document the importance of vintage-specific skills, and discuss the implications for artificial intelligence and strategic management of human capital.</p> <p>To access the published paper, click on 'Read the Paper'. This research was also presented at the IGL2018 Global Conference as a <a href="https://hbswk.hbs.edu/item/different-strokes-for-different-folks-experimental-evidence-on-complementarities-between-human-capital-and-machine-learning">working paper</a>.</p> The full abstract of the study, if available Links https://papers.ssrn.com/sol3/papers.cfm 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
