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  2. 7 Ways AI Can Create or Tweak Your Resume Before Your Next ...

    www.aol.com/lifestyle/7-ways-ai-create-tweak...

    Employers spend an average of six to seven seconds looking at a resume. So your resume needs to enable them to find key information quickly. 7 Ways AI Can Create or Tweak Your Resume Before Your ...

  3. I’m a Career Expert: Here’s Why You Should Put AI on Your Resume

    www.aol.com/m-career-expert-why-put-160017502.html

    Adding AI to your resume should be a strategic process. ... Including AI on your resume can help you land your next job. ... leveraging the technology could generate a job-winning application ...

  4. Don’t let AI ruin your résumé - AOL

    www.aol.com/finance/don-t-let-ai-ruin-164544672.html

    AI isn’t better at being you than you are Augustine also warned that AI can prevent a job seeker’s true voice from coming through in their résumé and put them at risk of sounding inauthentic.

  5. Artificial intelligence in hiring - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    AI can reduce human involvement in hiring and reduce the human biases that hinder effective hiring decisions. [18] AI is changing the way work is done. [opinion] Artificial intelligence along with other technological advances such as improvements in robotics have placed 47% of jobs at risk of being eliminated in the near future. [19]

  6. Applicant tracking system - Wikipedia

    en.wikipedia.org/wiki/Applicant_tracking_system

    An Applicant tracking system has 8 main use cases: Source qualified candidates, Job posting, Parse resumes, Filter and search candidate database, Rank and rate candidates, Manage and track applicants, Schedule applicant interviews, Communication tools like automated emails and reminders to candidates and hiring manager, Reporting and analytics ...

  7. Digital literacy - Wikipedia

    en.wikipedia.org/wiki/Digital_literacy

    Many framings leverage existing digital literacy frameworks and apply an AI lens to the skills and competencies. Common elements of these frameworks include: Know and understand: know the basic functions of AI and how to use AI applications [24] Use and apply: applying AI knowledge, concepts and applications in different scenarios [25]

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