AI in recruitment refers to the use of artificial intelligence technologies to automate and enhance various aspects of the hiring process, such as candidate sourcing, screening, and engagement. 

Unsure what all the jargon means? We have a jargon buster for you.  

AI tools can offer many benefits. Some ways recruitment businesses are already using AI is to: 

• Reduce the admin burden of note taking and CV formatting 

• Improve CRM and ATS searches to identify the right candidates 

• Automate data collection 

• And much more.  

Find out more about the use cases of AI in recruitment. And even find out how AI can drive performance in your teams,  

Though there are some similarities, automation and AI are different. This article gives an overview of automation and AI and explores the impact and potential in the recruitment industry.

The cost of implementing AI can vary depending on the solutions you choose. There are both affordable and more extensive options available, so it's important to assess your business needs and budget. 

You may also already be paying for AI tools and not realise. Have you checked if your CRM and/or ATS provide is rolling out AI features? Do you already pay for the Microsoft or Google suites? It is worth taking a look at your current tech stack to see if there are any AI tools already available to you.  

Remember, do not put any sensitive or confidential information into free, OpenAI tools.

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AI can offer benefits when it comes to handing repetitive tasks, giving recruiters time back to focus on the more strategic and interpersonal aspects of hiring. But the expert, human-touch is more important than ever.  

Discover how REC member Harvey John is balancing the efficiency gains of AI with the expertise only their recruitment consultants can provide.  

Discover how REC member Aligra is using AI to save their recruiters time.  

The first step in any technology change project is to clearly identify what your business needs, before jumping ahead to the type of tool.  

Consider your specific business needs, budget, the existing systems you use , what will integrate and the level of support and training your business will need. Discover more top tips find, buy and deploy the right technology for your business.  

Navigation AI implementation can be tricky. 

Challenges may include data privacy concerns, the need for ongoing maintenance and updates, and ensuring that AI algorithms do not perpetuate biases. 

Use this article to unpack the regulations, challenges and implications your business needs to be aware of when it comes to AI legislation. 

AI is also only as powerful as the data is has to work with. Find out more about how you can make the most of your data with this two-part series. Part one is here, and part two can be found here. 

Discover how REC member Staff One has data and data privacy at the core of the technology strategy.  

To use AI ethically, ensure transparency in how AI tools are used, regularly audit AI systems for biases, and maintain human oversight in decision-making processes. Dive into the Department for Science, Innovation & Technology’s Ethics, Transparency and Accountability Framework for more. 

Yes, AI can help reduce unconscious bias by focusing on objective criteria and providing a more standardised evaluation process, but it's crucial to regularly review and adjust AI systems to ensure fairness. 

But AI learns from data. So, where bias has existed in the historical data, the AI will learn and even amplify this.  

You should also consider the criteria you are giving to the AI tool. Remember, under the Equality Act it is illegal to set rules or practices that unfairly disadvantage workers or job applicants with protected characteristics (like race, gender, age, etc.) compared to those without these characteristics. You can find out more about discrimination and unconscious bias in recruitment, here.