AI recruitment software provider Sapia.ai will present innovative research across four sessions at the upcoming SIOP 2023 conference in Boston.
With the largest submission by an AI company founded in Australia, Sapia is proud to present cutting-edge research that will greatly advance the development and adoption of ethical AI, natural language processing, and machine learning in the field of industrial-organizational psychology.
Sapia.ai has four individual research papers presented at the conference, each of which will have a significant impact on the field of AI:
Leveling the Playing Field: A Collection of Inclusive Assessment Approaches. This session examines the findings of Sapia’s research paper, Reducing Disability BIas with Chat-Based Interviews. It is claimed that in-person and traditional interviews for applicants with disabilities are stressful and anxious, contributing to lower retention rates and higher unemployment rates. The session explores how an ethical AI, chat-based assessment can lead to fairer outcomes for people with disabilities: a candidate satisfaction score of 8.9/10 and 95.8% positive or neutral sentiment when using the AI Smart-Chat interviewers by Sapia.
Natural language processing (NLP) applications: The versatility of text-based data. This session will share insights from the article “Identifying and Mitigating Ethnicity Bias in Structured Interview Responses” and explore how racial bias and racism can be mitigated in traditional job interviews through the use of a blind, text-based interview format that uses underlying trait scores (i.e., personality traits, competencies, and communication skills) instead of raw text in the final scoring algorithm.
Machine Learning for I-O 5.0: Dealing with Algorithmic Bias and Fairness Concerns. This session examines the results of the paper Plagiarism Detection and Prevalence in Online Text-based Structured Interviews. It explains how Sapia’s AI system can flag plagiarized or fake responses in text-based chat interviews, mitigating the problem of “faking” that occurs in both AI-based and traditional self-report assessments. Results to be presented include Sapia’s own plagiarism rate of 3.28%, well below the estimated 30-50% of candidates who fake self-disclosure measures.
Machine Learning for I-O 5.0: Advances in Organizational Applications. Referring to the paper Question-aware Outlier Answer Detection for Fairer AI Scoring of Interviews, this session examines how an ethical AI can identify outlier answers that violate training data, leading to better outcomes for respondents who respond in novel but relevant ways Respond to prompts.
Sapia.ai’s participation in the SIOP 2023 conference underscores the company’s continued commitment to discourse within the SIOP and broader I-O communities.
dr Ashlie Plants Ph.D., Lead People Scientist, said she is proud that so much of Sapia’s innovative research has been accepted by the SIOP committee.
“Even in psychological circles, AI has been met with a lot of apprehension and scrutiny, which is absolutely necessary,” Plants said. “But research and curiosity are also required, and we’re excited to see the response of the I-O psychology community to the advancement and potential of a truly ethical AI system.”
“We can’t wait to present our research at the SIOP conference and continue our hard work to advance Sapia’s AI smart chat interviewer and ensure it is the fairest and most valid means of interviewing and evaluating candidates in the industry-evolving AI age.”