The use of generative AI by job seekers in the hiring process and what you can do about it
Glen Cathey
Helping people and companies maximize human and AI potential: Advisor, Trainer, Keynote speaker
Insights into how job seekers are using GAI
While many companies are at least vaguely aware of the possibility of job seekers using generative AI to assist them in the application process, we now have some data-driven insights into how AI is being used by job seekers and its impact.
A very interesting study by Oriel Partners, alongside recent findings from other major surveys, reveals the impact of the use of AI by applicants:
But here's where it gets really interesting:
There's nothing wrong with using GAI to help with writing resumes - it's really no different than using traditional resume writing services. In either case though, it's important that the resumes people use and submit for job applications are accurate, and GAI tends to embellish skills and accomplishments. Perhaps the people using these solutions aren't being careful to review the output, or they simply don't care and hope the embellishments give them an advantage in the application process.
In preparation for my presentation at the URx conference earlier this year, I performed some testing and found it fast and easy to use a number of generative AI solutions on my phone to help answer example psychometric and cognitive assessment questions, including pattern matching/completion.
And perhaps you've seen any of the number of videos on various social media platforms that demonstrate solutions that allow virtual interviewees to have GAI listen to live interview questions over Zoom, Meet, Teams, etc., and practically instantaneously produce answers that can be used to help respond.
As Jamie Betts from online assessment provider Neurosight puts it: "We're seeing the most significant level of turmoil on the employer side that has ever existed."
This raises some tough questions
The use of generative AI by applicants to write their resumes and customize them for specific jobs, to complete assessments, and even assist with virtual interviews raises critical questions:
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It's time to take action
It's actually past time to take action, but it's never too late.
Deter, Design, and Detect is an enhanced "3D" approach companies can adopt to adjust to the new reality of applicants using GenAI.
Deter: Develop clear guidelines on the acceptable use of AI in applications, assessments and interviews, and communicate these policies transparently to all applicants. Use examples from companies like Anthropic and Canva as benchmarks. Ironically, you can use GenAI to draft your initial acceptable use policies, then refine them with human expertise.
Design: Design your application, assessment, and interview processes to minimize or neutralize the advantages of using GAI in the hiring process unless its use is explicitly allowed:
Detect: Implement strategies to identify the potential use of AI in applications, assessments, and interviews.
By adopting this enhanced 3D approach, companies can:
AI augmented applicants = the new reality
Adopting this kind of approach acknowledges the new reality of the use of GAI in the application process while striving for a fair assessment of each candidate's true abilities and potential.
The rise of GAI use in the job application process is not just a trend—it's a paradigm shift in recruitment. As hiring professionals, we must evolve our practices to ensure fair, accurate, and effective evaluation of candidates in this new landscape.
What steps is your organization taking to address this challenge? How are you balancing the assessment of individual skills with AI collaboration abilities?
Talent Acquisition Specialist
1 个月Glen Cathey Do you know of ATSs that integrate AI detection tools? Would be interested to know if ATSs can flag AI generated CVs
Strategic Sourcing Specialist @ Telstra | Talent Acquisition
1 个月Glen Cathey Agreed with your pointers. When Organisations can use AI/ any latest technology to screen, filter and shortlist applications, it is not a crime for candidates to use them as well. The line to draw here is as to what extent that AI can take over human touch. If candidates can use AI to score in interviews, it is them who would find it difficult in the real work environment when thrown with challenges. Any technology can be used to better our life or otherwise. Keen to watch out on where companies and candidates are marching ahead with this boom !!
Backing great minds bring vector computer live
1 个月I don’t think this problem started with the rise of AI, it began when we stuck to "written docs" based selection. Those who could write well and tailor their resume to fit a specific job description were always at an advantage. That’s why I find this topic so fascinating, exploring alternative solutions like the ones mentioned in the article, such as practical tasks that aren’t easily handled by AI. (While I believe it's crucial to use certain AI tools in our daily work, I definitely wouldn't dismiss the idea of someone using existing AI tools to get things done during a selection.)
Dot connector | Creating a culture of collaboration | Automating white collar labor at scale | 6:38
1 个月The only scalable response to candidates using AI is is hiring teams using it as well. This means that we’re moving towards a world where much first and later all of the hiring process will be agents from both sides interacting with each other to determine fit and automatically taking action accordingly. This could very well mean that some point their will be no searching, interviewing, reviewing or even choosing by humans involved. Individuals moving jobs and hiring managers accepting them, without ever speaking, because they both trust their AIs having made the right choice. As if they were chideren being taken to their parents somewhere. The primary businesses to support both sides, in my opinion, are staffing businesses, because of their helicopter via of the labour market, sector/industry/vertical specific knowledge and existing relationships with both sides already. They need to transform to becoming technology companies to achieve this. Same way that Nintendo moved to making game consoles and software in 1977, after selling playing cards since 1889. Staying in entertainment, but becoming 100% about technology. Staffing business can stay in employment but need to become 100% about technology to remain relevant as well.
Hiring world-class technical talent for early-stage startups; emphasis on AI/ML. | ex-Google, Anyscale, Grammarly, etc.
1 个月I would bet money that much (most?) of this post about the dangers of candidates using LLMs to help them prepare was itself written by an LLM, or at least utilized for it. Humans don't use the word "delve" that much in normal writing or speech…