Algorithmic bias occurs when computer programs, machine learning models, or artificial intelligence (AI) systems produce unfair or discriminatory results. These biases often stem from unrepresentative training data or built-in assumptions in the algorithm’s design, and they reinforce existing social inequities such as those based on race, gender, or socioeconomic status
Celine Huang is a Summer Content Intern at The Decision Lab. She is passionate about science communication, information equity, and interdisciplinary approaches to understanding decision-making. Celine is a recent graduate of McGill University, holding a Bachelor of Arts and Sciences in Cognitive Science and Communications. Her undergraduate research examined the neurobiology of pediatric ADHD to improve access to ADHD diagnoses and treatments. She also sits on the North American Coordinating Committee of Universities Allied for Essential Medicines (UAEM), where she applies her behavioral science background to health equity advocacy. In her free time, Celine is an avid crocheter and concertgoer.
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I was blown away with their application and translation of behavioral science into practice. They took a very complex ecosystem and created a series of interventions using an innovative mix of the latest research and creative client co-creation. I was so impressed at the final product they created, which was hugely comprehensive despite the large scope of the client being of the world's most far-reaching and best known consumer brands. I'm excited to see what we can create together in the future.
Heather McKee
BEHAVIORAL SCIENTIST
GLOBAL COFFEEHOUSE CHAIN PROJECT
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By launching a behavioral science practice at the core of the organization, we helped one of the largest insurers in North America realize $30M increase in annual revenue.
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By redesigning North America's first national digital platform for mental health, we achieved a 52% lift in monthly users and an 83% improvement on clinical assessment.
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By designing a new process and getting buy-in from the C-Suite team, we helped one of the largest smartphone manufacturers in the world reduce software design time by 75%.
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By implementing targeted nudges based on proactive interventions, we reduced drop-off rates for 450,000 clients belonging to USA's oldest debt consolidation organizations by 46%
