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Frequently asked questions

• What is the difference between conversation AI and generative AI?

  On one hand, conversational AI can generate responses during hiring interactions, making it useful for interviewer roles and improving candidate engagement. However, generative AI is used for creating unique content, such as job descriptions, recruitment materials, and personalized candidate outreach.

• What is the difference between chatbot and conversational AI?

  Conversational AI provides responses based on the context of the conversation, which can enhance quality hiring processes. However, a chatbot just gives answers based on some pre-defined algorithm. Chatbots are the less advanced version of conversational AI that is helpful in achieving short and one-way communication.

• What are the features of conversational AI?

  Some of the features of conversational AI include omnichannel UI, natural language processing, intent identification, sentiment analysis, response generation, context awareness, program generation, problem-solving, and integration. These features are also useful in structured interviews, interviewer training, and interview as a service platforms to enhance the hiring process.

• What is the difference between conversational AI and intelligence?

  In a nutshell, conversational intelligence analyzes the entire conversation and provides valuable insights. However, conversational AI is just a real-time text and voice assistant that people can use on their phones, such as Siri or Alexa. These tools can also be integrated into structured interviews, and interview as a service solutions to assist in the hiring process and guide interviewers through interviewer training.

• What is an example of conversational AI?

  Siri by Apple, OK Google by Google, Bard By Google, and Cortana by Microsoft are some of the examples of Conversation AI.

• What are the ethical challenges in conversational intelligence with AI?

  Some of the ethical challenges are transparency issues, biases in answers, and empathy for a certain subject.

• Can conversational AI systems learn and adapt over time?

  Yes, it can. With the help of machine learning capabilities, AI systems learn over time. This helps AI improve their responses and provide more precise answers, contributing to quality hiring by enhancing candidate interactions.

• Does conversational AI Have sentiment analysis?

  Sentiment basically means emotional tone, and indeed, conversational intelligence can detect sentiment in a conversation. AI leverages this algorithm to provide responses according to the context of the question asked, which can also help in identifying and addressing hiring bias.

• Can AI handle multi-language conversations in conversational intelligence?

  With natural language processing (NLP), AI can be trained to understand and respond in various languages, making it a valuable tool for HR recruiters who need to interact with candidates from diverse linguistic backgrounds.

• Are there privacy concerns related to conversational AI?

  Yes, there are privacy concerns with conversational AI. Employees should not share personal or sensitive information, and companies should implement data protection methods; this is crucial during the quality hiring process to build trust and protect candidate data.