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How AI Resume Parsing Works

Looking to integrate an AI screening tool? Share your interest in our LinkedIn poll before October 7th:   / cmmannion_im-considering-building-a-resume...   Timestamps: 00:00 - Intro 00:55 - Why Do Companies Use AI to Screen Resumes? 02:55 - The 6 Steps of the AI Resume Screening Process 04:55 - Risk of AI Resume Screening 06:10 - NYC Local Law 144 06:45 - Demo of the AI Resume Screening Process 07:25 - Step 1: Resume Parsing 08:07 - Step 2: Keyword Matching 09:25 - Step 3: Ranking and Scoring 11:08 - Step 4: Qualification Status 12:08 - Plans for the new Product Launch What You'll Discover: The Why: Understand the pressing need for AI in screening resumes, from handling massive volumes of applications to reducing unconscious bias and cutting down recruitment costs. The How: We break down the AI screening process into understandable segments - Parsing, Keyword Matching, Ranking and Scoring, Filtering, Compliance and Bias Reduction, and Feedback and Learning. Each step is meticulously explained to showcase how AI extracts and processes information from resumes. The Risks: While AI offers tremendous benefits, it's not without its challenges. Our video discusses potential pitfalls, such as over-reliance on keywords and the lack of human nuances, and explores how companies are addressing these concerns. Legal Landscape: Stay informed with an overview of Local Law 144 of 2021, mandating bias audits and notices for the use of Automated Employment Decision Tools in New York City, setting a precedent for legal requirements nationwide. Why Watch? Whether you're a job seeker aiming to optimize your resume for AI systems, an HR professional looking to enhance your recruitment process, or simply intrigued by the role of AI in the future of work, this video offers valuable insights. You'll learn practical tips for navigating the AI screening landscape and discover how technology is shaping the future of hiring. Dive into the AI Revolution Join us as we explore the fascinating interplay between AI and human decision-making in recruitment.