THE EFFECT OF ARTIFICIAL INTELIGENCE (AI) ON JOB SEARCHING AND HIRING IN MODERN WORLD

 

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What is AI?

Simply the AI is a machine-based system that capable of analyzing human based data and inputs to perceive virtual environment & automate tasks that are currently difficult or impossible for humans to do.

"AI" has become an umbrella term for all advances in computing, systems, and technology that enable computer programs to perform tasks and solve problems. This requires the kind of reasoning associated with human intelligence, and even learning from past processes. This ability to learn is a key component of AI.


Recent Developments in AI

As mentioned above, the ability to learn is a key component of AI and is evolving every day. Over the past decade, the use of machine learning has grown significantly. As a result, computerized systems and technologies have evolved to facilitate/replace human tasks. AI has the potential to become very important as it steadily increases the number of tasks that computers can perform faster, cheaper, or better than humans. 


How AI effect replacing or creating jobs?

There are 2 points to be discussed in this topic.

 1.        Replacing

According to the World Economic Forum's "The Future of Jobs Report 2020," AI is expected to replace 85 million jobs worldwide by 2025.

Developments in artificial intelligence mean that technology can achieve more and more, and that will, of course, impact jobs. As physical machines, software systems, and combinations of hardware and software get more capable as a result of, AI-enablement, it is increasingly possible as well as economically viable to replace a greater share of the portions of the human work of today with machines.

Accountants, HR Professionals, Musicians, Paralegals, Radiologists, Cashiers etc. might lose their jobs as AI will replace to perform their task effectively.


2.        Creating

Research shows that AI will power many existing industries and continue to drive large-scale innovation that could spawn many new growth sectors, ultimately creating more jobs. According to the World Economic Forum's "The Future of Jobs Report 2020", AI will create 97 million new jobs worldwide by 2025. 

Jobs with a strong human element are especially unlikely to be taken over by technology as AI won’t be able to replicate range from creative fields to empathic jobs as well as complex political and strategic jobs. Some industries such as education, art & craft, social works, legal etc. will continue to rely on human workers.


AI Effect on Job Searching & Hiring

Within the present day world AI as of now plays a major part within the hiring process, As continue filtering is being done by AI fueled programs, so much so that up to 75% of resumes are rejected some time recently they indeed reach a human being.

Within the past, recruiters have had to give significant time to poring over resumes to hunt for relevant candidates but, presently with the AI back they don't need to distribute more time for shortlisting.

It is clear that, in the event that an HR department is utilizing an AI algorithm to plan appointments, review résumés, reply candidates' questions, and, generally, computerize a range of tasks—from the unremarkable to the intricate—it is conceivable that they will require less workers.

These days, numerous job-posting platforms permit free posting services, most offer the opportunity to “promote” a work to extend its presentation to more candidates. AI poses the opportunity to form this straightforward and decrease requests on hiring managers. This task is modern to the HR profession and requires learning around the distinctive frameworks as well as the esteem of investing in promoting job posts.

AI can permit firms to put through with more workers at a more prominent speed whereas protecting people for activities where more strategic value is required, like persuading somebody to acknowledge an offer once it has been expanded. This reframing of the HR part as managers of AI and as “talent advisers” makes certain components of the hiring process more human.


Conclusion

The above discussions show that the difficulty of finding out the net effect of AI & it's impact on HR. The AI may conclusion up mechanizing numerous of the tasks right now performed by individuals, in spite of the fact that AI may make employees more beneficial and make modern tasks that require human intervention. Whereas the net impact of AI on HR is hazy. AI is certainly here to remain, whether we like it or not. perfect way to move forward is to be mindful of and adjust to the modern innovation around us, AI included. 


References

Kiderlin, S. (n.d.). Artificial Intelligence is booming – but how will it impact your career? [online] CNBC. Available at: https://www.cnbc.com/2023/02/20/artificial-intelligence-is-booming-but-will-it-impact-your-career-and-job.html.

Malone, T., Rus, D. and Laubacher, R. (2020). Artificial Intelligence and the Future of Work. [online] MIT Work of the Future. Available at: https://workofthefuture.mit.edu/research-post/artificial-intelligence-and-the-future-of-work/.

Stahl, A. (n.d.). How AI Will Impact The Future Of Work And Life. [online] Forbes. Available at: https://www.forbes.com/sites/ashleystahl/2021/03/10/how-ai-will-impact-the-future-of-work-and-life/?sh=1293e14479a3 [Accessed 20 Mar. 2023].

The White House. (n.d.). The Impact of Artificial Intelligence on the Future of Workforces in the European Union and the United States of America | CEA. [online] Available at: https://www.whitehouse.gov/cea/written-materials/2022/12/05/the-impact-of-artificial-intelligence/.

Thomas, M. (2019). AI and the Future of Jobs. [online] Built in. Available at: https://builtin.com/artificial-intelligence/ai-replacing-jobs-creating-jobs.


Thanks for reading
Chamara Perera

Comments

  1. HR processes (recruitment, onboarding, training, development, reward and recognition) that AI can definitely make better. By tapping into AI successfully, these processes can be made more effective, quick, and relevant.
    On the other hand AI will work on the data which it gethered, if those data manipulated which will affect the AI process and which will lead to produce incorrect responds.
    What's your view on this

    ReplyDelete
    Replies
    1. Thank you for your comment Azeem.
      I agree with the statement that AI can definitely make HR processes better. AI can be used to automate tasks, identify patterns, and make predictions. This can help HR professionals to be more efficient and effective in their work.

      For example, AI can be used to automate the recruitment process. This can include tasks such as screening resumes, scheduling interviews, and making hiring decisions. AI can also be used to identify patterns in employee data. This can help HR professionals to identify areas where employees are struggling and to provide them with the support they need.

      However, it is important to note that AI is only as good as the data it is trained on. If the data is manipulated, this can affect the AI process and lead to incorrect results. It is therefore important to ensure that the data used to train AI models is accurate and unbiased.

      Overall, AI has the potential to make HR processes better. However, it is important to be aware of the limitations of AI and to take steps to ensure that the data used to train AI models is accurate and unbiased.

      Delete
  2. Hi Chamara, great topic for the discussion on this article you have mentioned that AI can undertake some work better than humans. But how do the companies identify the soft skills & how AI can capture them?

    ReplyDelete
  3. From my perspective, businesses has to ensure that AI is being used ethically in the hiring process by implementing measures such as regular audits of AI algorithms and ensuring that they are free from bias or discrimination. Additionally, they can ensure that their HR professionals receive training on the ethical implications of AI in hiring, and that they are equipped to identify and address any potential issues that arise. Measures such as anonymizing resumes and diversifying the data used to train AI algorithms can also help to prevent discrimination.

    ReplyDelete
    Replies
    1. This comment has been removed by the author.

      Delete
    2. I agree with your perspective that businesses have a responsibility to ensure that AI is being used ethically in the hiring process. AI has the potential to be a powerful tool for hiring, but it is important to use it responsibly. Here are some of the measures that businesses can take to ensure that AI is being used ethically in the hiring process:

      1. Regular audits of AI algorithms:
      Businesses should regularly audit their AI algorithms to ensure that they are free from bias or discrimination. This can be done by having a team of experts review the algorithms and by testing them on a variety of data sets.

      2. Training for HR professionals:
      Businesses should ensure that their HR professionals receive training on the ethical implications of AI in hiring. This training should cover topics such as bias, discrimination, and privacy.

      3. Anonymizing resumes:
      Businesses can anonymize resumes before they are reviewed by AI algorithms. This means removing personal information such as names, addresses, and dates of birth from resumes. This can help to prevent AI algorithms from discriminating against candidates based on their personal characteristics.

      Diversifying the data used to train AI algorithms:
      Businesses should diversify the data used to train AI algorithms. This means using data from a variety of sources, including different genders, races, and ethnicities. This can help to ensure that AI algorithms are not biased against any particular group of people.

      By taking above measures, businesses can help to ensure that AI is used ethically in the hiring process and that all candidates are given a fair chance to be hired.

      Delete
  4. Hi Chamara. summary of this what I understand is AI playing grate role alone with HR but don’t you think Human as an assets not only AI should filter it should filter with human filters.

    ReplyDelete
  5. Hi, really practical topic. Using AI can improve productivity, reduce operational costs and time on repetitive work etc. But will it effect for people's jobs in the future?

    ReplyDelete
    Replies
    1. Of course, it will impact to peopls' jobs. As physical machines, software systems, and combinations of hardware and software get more capable as a result of, AI-enablement. In the other hand, jobs with a strong human element are especially unlikely to be taken over by technology as AI won’t be able to replicate range from creative fields to empathic jobs as well as complex political and strategic jobs. Some industries such as education, art & craft, social works, legal etc. will continue to rely on human workers.

      Delete
  6. You brought up the fact that AI can perform some tasks more effectively than humans, which is a fantastic topic for discussion on this article. However, how can AI be used to collect soft skills and how do businesses identify them?

    ReplyDelete
    Replies
    1. In my opinion, there is no business without a risk. Hence, organizations must keep predicting the future and take key learning from it for future decision making. when it comes to succession planning, it is about identifying talents for the next job, and you got to keep predicting with logical sense. Now, jobs are changing constantly with the rise of automation, technology and AI. Companies are compelled to change job roles to adapt, or else they get left behind.

      Delete
  7. Optimizing recruitment with technology tools while lacking proper ethical lenses to access these practices implies a violation of equality in the non-bias hiring process. Acts to counter this issue include statutes to limit abusing AI assisting tools in recruitment, as well as to conduct compulsory bias audits and public metrics utilized for the practice. These laws will put pressure on organizations to comply, thus ensuring more transparency.

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  8. AI has brought numerous benefits to the recruitment process, but there are some limitations and potential challenges to be aware of. AI algorithms are only as unbiased as the data they are trained on, which can lead to discrimination against certain groups of candidates. AI may not be able to fully replace the human connection and intuition that can come from face-to-face interviews and interactions with candidates. It is important to use AI carefully and thoughtfully, with the recognition that they are not a perfect replacement for human judgment and connection.

    ReplyDelete

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