We all know the saying, " Garbage in, garbage out." But what if we could take that a step further? What if, instead of just trying to avoid bad input data, we could use artificial intelligence (AI) to fix it? After all, AI is designed to learn and improve over time, so why not put it to work on one of the most pernicious problems facing businesses today: bias?
The History of AI in HRTech and Its Potential for Good
Artificial Intelligence (AI) has taken resume parsing to a whole new level in the HR tech space. With resume parser technology, employers are able to quickly and easily extract important info from resumes and filter through candidates with ease. They can do things like customize talent searches for specific job roles and evaluate resumes for work experience, certifications, awards, and special skills-all within minutes! AI has revolutionized the HR tech industry in terms of resume analysis-opening up doors for all kinds of wonderful opportunities in the realm of HRTech. From quick resume access to easily narrowing down searches, AI is truly a game changer with massive potential for good.
The Problem of Bias in HRTech, and How It Can Be Harmful?
There is no denying that resume parser technology, otherwise known as resume parsing, has ushered in an exciting new age of HRTech solutions. However, this technology can often lead to bias within an organization if it is not implemented thoughtfully. Clever algorithms designed to pick out keywords can be swayed by language, industry-specific jargon, and even the layout of a resume - all of which are factors that are inherently hard to combat due to the long-standing human reliance on first impressions. This type of human bias currently isn't made obvious when using resume parser technology, making it incredibly important for HR departments to think through their processes and approach before relying solely on resume parsing for recruitment decisions.
The Battle Between AI and Bias in HRTech, and Who is Winning?
Machine learning and artificial intelligence are revolutionizing the way we hire and manage our employees, but with it comes an ethical dilemma: how do we create HR tech solutions that minimize human bias while also ensuring accuracy? Some say AI has already made strides in this area, while others question whether it's all smoke and mirrors. It looks like this is one of those battles where everyone can claim a (small) victory – AI has certainly gone some way to reduce bias in HR hiring practices, but it's far from perfect. It'll be interesting to see if a fairytale ending is on the cards for both sides or if machine learning remains just one piece of the puzzle.
How to Overcome the Challenges of Bias in HRTech
Is your resume parser software guilty of any bias? The challenge of HRTech is to ensure that its resume parser software, and other recruitment algorithms, are optimized for the accuracy of outcomes as opposed to perpetuating biases. The best way to defeat bias in HRTech is first to identify what it looks like. Once it is identified, the next step is to develop programs like resume parsing tools with "data normalization," which cleans out any irrelevant demographic data while recognizing the relevant skills and abilities needed to succeed in the job profile at hand. Ultimately it is through a greater understanding and awareness of bias that we will actually win the battle against discrimination and create an equal-opportunity hiring process.
The Future of AI in HRTech
Hirize is leading the charge when it comes to AI and HR Technology advancements. In an ever-accelerating world, Hirize is streamlining the way companies hire with its best-in-class resume parser. Hirize enabling employers to quickly gather applicant data and accurately identify potential candidates cut down significant time in the hiring process, resulting in a seamless experience for both employers and job seekers. From automating the screening process to providing more accurate insights for recruiters, Hirize ensures that human resource technologies remain just that—human-centered.
It would be naïve to think that AI will solve all the world’s problems, but it is also naïve to think that AI won’t play a role in solving many of them. When it comes to overcoming bias in HRTech, we have seen that there are many challenges to face. However, with careful thought and planning, these challenges can be overcome. We believe that with the help of AI, the future of HRTech is bright – bias-free, and more inclusive for everyone.
Are you ready for the future? Try Hirize today!
