More and more HR tools apply machine learning and artificial intelligence systems that are applied to the workplace to address “employee issuesâ€. With the continuous transformation of organizational structure and the gradual decentralization of power, organizations that can effectively use such technologies can stand out.
Of course, this is a high-risk, high-reward job.
In essence, artificial intelligence and machine learning are just tools. They are just like any other tool, and they have advantages and disadvantages. If users are not able to use or configure them wisely, they can even disrupt your workflow or corporate culture. Especially for HR practitioners, this is a huge risk because they are often less familiar with the deeper mechanisms of these tools than technical professionals.
So, what should be done as a human resources expert who wants to do a good job?
First, identify the problem you are working on. In other words, really understand the problem to be solved. After you have identified the problem and evaluated it correctly, ask yourself if you really need to use this technology. If you don't use this technology, will the work process be delayed? Does applying this technology make the problem easier, so that you have time to solve other problems? Or can you use existing technology or different methods to do what you do?
If you decide that you really need to use this novel artificial intelligence technology, then you must understand the advantages and disadvantages of artificial intelligence. In addition to being able to quickly search for relevant information on Google, it is necessary to have a deeper understanding. Dig deep into the connections of your profession and take advantage of the expertise of others in the company and invite them to participate in reviewing the tools you are considering.
In the case of proper use, artificial intelligence can save you a lot of time and effort, thus transforming human resources work from operational functions to strategic functions.
Choose the right tool to solve the problem.
It is not a one-size-fits-all solution. And the algorithm does not necessarily apply to all problems, so you must ensure that artificial intelligence is suitable for solving the problem you are experiencing.
The algorithm is not suitable for the following situations:The problem of generating small amounts of data, or the data does not reflect real-world results or behavior.
Problems with extreme edge conditions, or severe deviations in the underlying data set (but there are ways to solve this problem).
A problem that requires value judgment (in this case, considering both humanization and algorithms, an optimal solution can be generated).
On the positive side, the algorithm can solve such problems well:There are important data in the question, and the data is directly related to the behavior and results you are interested in.
These questions related to the pattern you are searching for are predictable (or at least consistent in the long run).
Keep in mind that artificial intelligence is not always enough to improve your ability to work, so using automated process tools may not produce the desired results. If you are trying to change employee behavior, use tools that help employees learn. Studies have shown that timely, specific, executable, and tool-based feedback is very effective in solving behavior-based problems.
For example, the Texito platform will provide feedback when you write job postings, suggesting ways to beautify content, making job postings more appealing to job seekers. Joonko analyzes workplace productivity and collaboration tools, looks for evidence of unconscious bias, and then suggests corrective actions to employees.
Algorithm is also the result of human intelligenceThe design of artificial intelligence is not so much a science as an art. The inventor may inadvertently incorporate his own bias into the technology, and as Google is well aware, in an emerging facial recognition technology, dark-skinned people are identified as gorillas.
When doing homework, use artificial intelligence tools to shop at the same time. Find out how these models were developed and what these development options mean. Think about such a problem:
What data set was taken to train the algorithm? What deviations may exist in such data? How is the model revised for this?
For example, as Joonko points out, if an algorithm reads data and the data shows that women are more likely to be assigned to lower-priority tasks, then it may “understand†and women are not up to higher. Priority work.
How has the model evolved over time? How is the deviation problem solved? What is the bottom line?
Artificial intelligence and machine learning have the potential to fundamentally change the human resources function and increase the positive impact on the human resources commissioner. But applying artificial intelligence or machine learning does not make the organization itself change continuously. If you use artificial intelligence to accelerate positive changes that are happening, you can enhance technology-based changes with other strategic projects that are running.
Robots don't replace us, they just make us better.
About this project
ADVANCED SAFE CHARGING: The USB-C MacBook Pro Charger Power Adapter combines advanced safety features and premium fire-resistant materials with built-in protection against overheating, overcharging, overcurrent, and overvoltage.Fast Charge with PD 3.0: The USB C charger features a Thunderbolt 3 USB C port for full-speed charging, charging a 16-inch MacBook Pro in just 1 hour and 30 minutes. (Note input: AC 100-240V-1.5A(1.5A), 50-60Hz, output: 20.5V=4.7A, 15V=3A, 9V=3A or 5.2V=2.4A.
Wide Compatibility: Macbook Charger is compatible with Mac Pro 16 15 14 13", Mac Air 13", i-Pad Pro 11"/12.9", and also compatible with other USB-C enabled devices. Such as laptops, cameras, smart watches, mobile phones, tablets, game consoles, headphones, Nintendo Switch, etc.
GREAT ALTERNATIVE USB-C CHARGER: This compact USB C laptop charger is designed with a foldable plug for easy portability and convenient home/office and outdoor charging.
What you get: USB C Charger Add a free 6.6" USB-C to USB-C charging cable, compatible with Macbook Pro, Mac book Air, iPad Pro, it's more sturdy, super durable, tangle-free, with a lifespan of over 10000 Second-rate.
usb c charger for macbook,macbook usb c charger,usb c macbook adapter,usb c macbook power adapter
Shenzhen Waweis Technology Co., Ltd. , https://www.waweisasdapter.com