Is ChatGPT Enterprise the magic bullet for recruiting?
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Well friends, ChatGPT - Round 3! In part 1 and 2 we discussed the “Use cases for tech recruiting" and "The top 5 current ChatGPT recruiting methods". So it's time to take another look at what's been happening in the AI world. Because here the news outstrips each other on a daily basis, as this technology development feels like it is developing exponentially (it probably is).
Two monumental changes have been made. ChatGPT Enterprise and moreover ChatGPT can now see, hear and speak. The latter sounds phenomenal at first, but the game changer is the dry-sounding Enterprise option when it comes to recruiting. Which is obvious. Nevertheless, we also benefit from the "consumer" innovations ... and personally I have to say, it is a bit of fun to chat with ChatGPT via mobile phone without having to look at a screen - try it out for yourself! 🙂
Let's first take a look at the advanced GPT-4 functions. These functions are only available for Plus users. The web search (via Bing) and plug-ins have been available for quite some time. New since September is the integration of DALL-E 3 - and thus the processing and generation of images. The previous feature "Code Interpreter" has been renamed "Advanced Data Analysis". No upgrade here. Nevertheless, next to the enterprise functionality, this feature is most interesting for recruiting. We are not yet in a reality where we upload profile pictures and characteristics are derived from facial features.
Use cases for Recruiting & HR
Unsurprisingly, ChatGPT Enterprise sounds the most promising for recruiting and HR activities. But ChatGPT Plus also promises some advantages - so let's look at these in detail:
1. Advanced data analysis
- Screening of candidates: Using advanced data analytics, HR professionals can accelerate or automate the screening of resumes and applications to shortlist the most suitable candidates based on specific criteria.
- Trend analysis: Further analysis of employee engagement surveys, exit interviews and other HR data can be used to identify trends and insights that can inform HR strategy and decision-making.
As you know, you should never feed AI models with sensitive data such as personal or company data. Enterprise is there to help you and protect your data. But as The Register points out here, much of this also applies to ChatGPT Plus. All conversations with ChatGPT are encrypted in transit, regardless of which product you use. Big businesses are likely to go for Enterprise as it comes with a few more benefits, which we'll come back to in a moment. Price-wise, OpenAI doesn't specify – meaning it will come down to scale. Plus is manageable at $20 USD. Smaller companies can anonymise their data at this point to benefit from the "Advanced Data Analysis" feature.
2. Higher context and speed with ChatGPT Enterprise
Let's look at the other advantages of Enterprise. It's about speed and the volume of context that ChatGPT can handle. OpenAI states that up to 4x longer inputs & conversations are possible with 32k "context windows" - so really long and complex inputs (prompts) are possible. The speed is also supposed to double. And then it is no longer capped - plus users are limited to 50 requests per 3 hours. For recruiting, this means:
- Advanced Conversations: More meaningful evaluation of conversations with candidates - For example, you can transcribe a video interview in full and then have it evaluated in full by ChatGPT. And then in half the time.
However, SMEs don't have to be left out in the cold when it comes to context with ChatGPT Plus, because there are plenty of creative ways to expand the regular context window. One way, for example, is via the API - so it's a piece of cake for IT companies like you.
3. Speech and image skills
Even if we don't do profile picture analysis, we can use the new picture functionality of ChatGPT 4.
- Document processing: Recruiters can submit documents (such as references, certifications and awards) to ChatGPT for automatic data extraction and analysis.
- Voice-activated HR support: Pre-interviews are conceivable, in which candidates first conduct voice interviews with the AI. In the second "real" interview, HR staff can then go into more depth on certain points and form their own picture. This could shorten the manual part of the interview process and optimise it at the same time - because there is time between the two interviews to evaluate the first part (with ChatGPT) and to specifically query deeper layers in the second part. In order to integrate something like this into an HR system, knowledge about the integration of ChatGPT's API is required here as well.
4. Next Level Personalisation
And it is not only the interviews that can be increasingly personalised.
- Customised HR solutions: Customised HR solutions such as personalised onboarding experiences, employee training programmes or automated HR helpdesks can still be created.
Here too, the enterprise version, which can be fed both sensitive and larger data volumes as a feedback loop, shines without any concerns about data protection.
5. Security and data protection
Finally, let's devote our full attention to the security aspect. When it comes to security, all products receive AES-256 data encryption at rest and in transit (TLS 1.2+). OpenAI further says about ChatGPT Enterprise, you control how long your data is stored and that they don't train on your ChatGPT Enterprise or API platform data. So seems that by using the API you get a privacy loophole. However, in the product table you can only find this feature in Enterprise (see Fig. 2). Therefore, the following advantage applies with certainty only to the Enterprise option:
- Confidential handling of data: Thanks to company-wide security and data protection, confidential HR data such as employee data, salary information and other sensitive data can be handled securely.
Overall, we are moving further down the path of greater engagement through AI, which allows HR professionals to focus on more strategic and interpersonal aspects of their roles.
