Mitigating AI bias with prompt engineering — putting GPT to the test
What variables were tested in the AI bias experiment?
In the AI bias experiment, the variables tested were the influence of explicitly biased recommendations made by a fictitious AI system on participants' behavior using a classification task with a medical-themed story: a simulation of an image-based diagnosis5. The experiment aimed to examine how biased AI recommendations can influence people's decision-making in a health-related task and to test whether the impact of the biased advice on human behavior extends beyond the phase in which the AI recommendations are explicitly present.
What is the goal of DataDecisionMakers at VentureBeat?
The goal of DataDecisionMakers at VentureBeat is to provide a community platform for thought leaders, decision-makers, and experts to share their insights, experiences, and innovations related to data and data technology. It aims to help readers understand the transformative power of data and its impact on various industries and domains.
What are large language models (LLMs)?
Large Language Models (LLMs) are artificial intelligence algorithms that use neural network techniques with numerous parameters to process and understand human languages or text6. They are trained on immense amounts of data, making them capable of handling tasks such as text generation, machine translation, summary writing, and chatbot interactions46.