ACES Co., Ltd.
A paper on human resource assessment support by AI was adopted in the Case Study section of the top conference in the HCI field “ACM CHI2023”
ACES Co., Ltd. (Bunkyo-ku, Tokyo, CEO Koichiro Tamura, hereinafter “ACES”) is conducting a DX project on AI utilization in human resource assessment with Lead Create Co., Ltd., which discovers and trains leaders and supports the growth of organizations. increase. As one of the research results of the project, a paper focusing on a case study in AI-based human resource assessment support work was selected for the ACM CHI 2023 Case study (acceptance rate of about 30%).
ACM CHI is one of the major international conferences in the field of Human Computer Interaction (HCI). With the overarching goal of “Making the world a better place with interactive digital technology,” ACM CHI gathers researchers and practitioners from around the world every year with diverse cultures, backgrounds and positions. Accepted papers will be announced in Hamburg, Germany.
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■ Contents
The paper “AI for human assessment: What do professional assessors need?” Written and contributed by Riku and Daimu Yagura of University of Tsukuba.
In addition to being required to read the subtleties of the remarks and behavior of the person being evaluated, human resource assessment is also linked to personnel evaluation, so the introduction of AI technology has not progressed. In this research, we proposed an AI technology to improve the efficiency of assessment work without causing the evaluation process to become a black box. According to Amershi [1] et al., when humans and AI collaborate, it is proposed that trust (relationships of trust) between humans and AI is important. By combining automatic sensing of multimodal behavioral features such as “expression, posture, head tilt, gaze” and anomaly detection algorithm, it is possible to make it interpretable and explainable by human resource evaluators, and professional assessors use AI. I secured the trust of time. Going forward, we will continue to create a positive loop of 1. Improving the accuracy of AI through data accumulation, 2. Improving human capabilities by receiving support from higher quality AI, and 3. Feeding higher quality data to AI. By turning it, we aim for AI and human cooperation.
[1] Amershi et al. Guidelines for Human-AI Interaction. 2019. ■ Future prospects
ACES, which has strengths in algorithm development that formulates human knowledge, aims to implement technology in various communication scenes. The science of communication is the frontier of multimodal HCI research based on video, audio, and natural language processing. In the future, we aim to play a role as a bridge that connects the value of academia to business (business value) by promoting the digitization of communication not only in human resource evaluation but also in multiple areas such as sales and education. I will continue. ■ Author’s comment
Mr. Arakawa: I think that this initiative is an example of tackling the exciting issue of AI support for human resource assessment, based on the research on conversation analysis that we have been working on. I am delighted to have been selected for the CHI2023 case study, a place that attracts attention from around the world.
Mr. Yagura: I believe that the overall design that includes not only algorithm development but also interaction technology is essential for the social implementation of AI technology. In the highly complex field of human resource assessment, we clarified the effects of conversation analysis technology that we have developed on the elements of AI technology and human trust, and presented them to researchers and practitioners in the form of a case study. I am pleased to
■ Paper information
Title: AI for human assessment: What do professional assessors need? Author: Riku Arakawa, Hiromu Yakura (equal contribution)
Adoption date: December 2022
Announcement date: April 2023
URL: https://arxiv.org/pdf/2204.08471.pdf
■ ACES Co., Ltd. Company Profile
ACES Co., Ltd., an AI startup from the University of Tokyo Matsuo Lab, uses Deep Learning AI algorithms to formulate human knowledge to solve problems and create value. With image recognition and video analysis algorithms centered on human sensing that recognizes and analyzes human beings as core competencies, DX partner business working on DX with clients and AI that provides software incorporating in-house algorithms I am in the software business.
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Representative: Representative Director Koichiro Tamura
Location: 3rd floor, First Genesis Building, 2-31-14 Yushima, Bunkyo-ku, Tokyo Established: 2017
Business description: DX partner business, AI software business URL: https://acesinc.co.jp (corporate site)
https://acesinc.co.jp/recruit.html (recruitment site)
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