AI/ML-Powered Talent Acquisition/Assessment Chatbot (TAC) via harnessing enhanced NLP algorithm

The talent acquisition process is crucial for organizations to meet their business objectives. However, traditional methods often have biases and inefficiencies, such as a shortage of qualified candidates, time-consuming processes, and unconscious biases. The proposed solution, known as “ATAP,” leverages Artificial Intelligence (AI) and Machine Learning (ML) algorithms, a Technical Assessment Chatbot (TAC), and data analytics to improve the process of Talent Acquisition. ATAP has the potential to integrate job platforms, automate data assessment, and reduce biases. In particular, AI/ML-based technologies can improve the procedure, providing organizations with valuable insights into potential candidates and obtaining a competitive edge when hiring the right talent. In addition, AI/ML-based technologies can also help to improve Equity, Diversity, and Inclusion in the hiring process, reducing potential bias in the recruitment and selection process. The main objective of the proposed collaborative research is to integrate the AI/ML-based Chat Assessment feature “TAC” with the data acquisition and management platform. TAC will offer an interactive element that will enable candidates to undergo automated target evaluation and provide real-time feedback that will lead to a comprehensive candidate evaluation process. The solution will promote Equity, Diversity, and Inclusion (EDI) practices, ensuring EDI considerations are at the forefront of the hiring process while reducing resource consumption, improving hiring timelines, and encouraging digital technology adoption in companies.

Faculty Supervisor:

Chad Nedin

Student:

Partner:

2707315 Ontario Corporation

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Lambton College of Applied Arts and Technology

Program: