The Like-Minded Algorithm: Human AI Integration & Considerations for Decision Making скачать в хорошем качестве

The Like-Minded Algorithm: Human AI Integration & Considerations for Decision Making

w/ Renée Richardson Gosline PhD, Senior Lecturer at the MIT Sloan School of Management and Principal Research Scientist at MIT's Initiative on The Digital Economy Human decisions are increasingly mediated by technology, as we navigate input from artificially-intelligent recommendation systems and outsource cognitive load to algorithms. This talk will present a series of studies that explore the research question: when seeking advice, what factors affect people’s relative preferences for algorithmic versus human input? Recent research has identified two phenomena: algorithmic appreciation (a tendency toward algorithmic input) and algorithmic aversion (a tendency toward human input), focusing on aspects of the technology or the task to explain outcomes. Building upon this, our research explores an individual-level attribute, cognitive style, as measured by the Cognitive Reflection Test . Experiments in a variety of decision domains – financial, health, employment-- suggest that cognitive style (intuitive or deliberative), is a predictor of algorithmic appreciation or aversion. Implications for cognitive bias are discussed.