AI in recruitment uses technologies like machine learning to automate tasks such as resume screening, candidate sourcing, and interview scheduling, improving efficiency and decision-making.

AI reduces hiring time, improves candidate matching, enhances diversity, and automates repetitive tasks, allowing HR to focus on strategic decisions.

Challenges include addressing bias, ensuring privacy, maintaining transparency, and integrating AI systems with existing HR tools.

Generative AI helps create personalized job descriptions, simulate candidate responses, and automate candidate engagement, streamlining recruitment.

Costs vary depending on the solution's complexity, ranging from software licensing to integration and training expenses.

Development time can take weeks to months, depending on customization and integration with existing systems.

Look for experience, scalability, customer support, and transparency in AI models when choosing a provider.

Technical aspects include choosing machine learning algorithms, ensuring data security, and integrating with Applicant Tracking Systems (ATS).

AI helps by anonymizing candidate data and reducing biases, promoting fairer, skills-based hiring decisions.

Ethical considerations include ensuring fairness, transparency, privacy protection, and avoiding discrimination in AI models.