In today’s competitive business world, finding top-notch talent is crucial. Traditional interviews can be time-consuming, biased, and may not reveal the full picture of a candidate. Generative AI is revolutionizing the hiring process, offering a smarter and more efficient way to evaluate candidates based on the video recording of their interview. If you’ve been looking for powerful AI tools for HR and recruiting, this is one of them.
Google’s Video Intelligence API: What It Is & How It Works
At its core, the Video Intelligence API is a cloud-based service that leverages Google’s machine learning prowess to automatically annotate and analyze video content. And this is not just another speech-to-text extension. Google’s Video Intelligence API can identify objects, scenes, actions, and even sentiment within videos, providing valuable metadata that can be used for a variety of applications.
Now that you have a video of a candidate being interviewed, you can apply Video Intelligence API for:
- Sentiment analysis: One of the most powerful features, video sentiment analysis detects emotional cues in facial expressions and tone of voice. This provides valuable information about a candidate’s enthusiasm, confidence, and overall attitude during the interview.
- Person and object tracking and recognition: The API detects, identifies, and follows people, objects, and scenes in the video. This allows for analysis of body language and non-verbal cues, facial expressions, eye movements to track whether the person is making eye contact, etc.
- Label detection: The API automatically tags video content with relevant labels, making it easy to search and categorize interviews for future reference. For example, interviews could be tagged with skills mentioned, job titles, or specific questions asked.
- Speech transcription: The Video Intelligence API can transcribe spoken language in videos into text, enabling in-depth analysis and keyword search. Automatic video transcription is particularly useful for reviewing specific parts of the interview or comparing responses across multiple candidates.
GenAI-powered Video Speech Analysis & Assessment
Another powerful component of our video job interview analysis tool is Google Cloud’s Vertex PaLM API, which provides access to large language models (LLMs). These models can generate text, translate languages, write various kinds of creative content, and answer your questions informatively. As we have explored in our previous blogs, you can leverage Vertex AI for building an extremely smart and simple search bar for your website or even your company’s own knowledge base search engine. When used in conjunction with a Video Intelligence API, it enables you to process textual descriptions extracted from videos and generate concise, natural language summaries based on the video content.
Based on the video speech transcription, the system can analyze and even evaluate various aspects of the candidate’s speech, such as:
- Eloquence: The fluency and effectiveness with which candidates articulate their thoughts and ideas.
- Formality: The extent to which candidates express themselves in an appropriate and precise manner, adhering to professional communication standards.
- Relevance: The suitability and pertinence of candidates’ responses to the questions or tasks presented.
- Clarity: The degree to which candidates articulate their thoughts and ideas in a clear, coherent, and easily understandable manner.
- Conciseness: The ability of candidates to communicate effectively and efficiently, avoiding unnecessary verbosity or rambling.
Beyond basic AI video summarization, Google’s Video Intelligence API, enhanced with Vertex AI, can analyze a candidate’s interview responses and provide detailed feedback to justify its scoring:
Automatic Scoring: The Video Intelligence AI component utilizes a trained machine learning model to assign scores for each evaluated criterion, and then calculate an overall interview score.
Feedback Generation: The system provides detailed feedback based on the analysis, which can be shared with the candidate or used internally for further evaluation.
3 Reasons HR Managers and Recruiters Should Use AI for Job Interviews
- Minimize Unconscious Bias. Hiring bias is real. And it can skew the hiring process, costing companies its best talent. GenAI can help minimize the impact of human bias, ensuring a fairer assessment of candidates based on their skills and qualifications, and leading to a more diverse and inclusive workforce.
- Save Time and Resources. Screening and interviewing one candidate can take up to several hours. Imagine how much time and money your company could save by simply delegating endless first-round interviews to AI technology. With automated analysis of video interviews, organizations can scale their hiring efforts efficiently, especially when it comes to handling a large volume of interviews. This allows HR professionals to focus on more strategic tasks.
- Gain Deeper Insights. Beyond just words, GenAI delves into nonverbal cues like facial expressions, tone of voice, and word choices to provide a more holistic view of a candidate’s personality and potential fit within your company culture. AI can also identify patterns in candidate responses that might not be apparent in a traditional interview.
Conclusion
GenAI for job interviews isn’t about replacing human judgment, it’s about empowering it. By leveraging the power of video intelligence and sentiment analysis, you gain deeper insights into candidates, leading to more informed hiring decisions. Ready to unlock the potential of GenAI for your hiring process or other common business challenges?
Schedule your personalized AI Workshop with Zazmic’s experts today!
