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SmartData Collective > Business Intelligence > Artificial Intelligence > Can Integrating Kronos Resolve Concerns About Bias in AI Development
Artificial IntelligenceExclusive

Can Integrating Kronos Resolve Concerns About Bias in AI Development

AI bias is a struggle that is taking the internet and technology by storm, and implementing Kronos into your operations can help resolve such problems.

Sean Mallon
Sean Mallon
6 Min Read
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Artificial Intelligence is the new age blessing in disguise, especially when understanding complex data for the company’s benefit. Unfortunately, there have been complaints about AI’s bias. In most cases, the bias manifests as a technical glitch, but it is an oversight by the algorithm feed and society.

Contents
What Is KronosHow Does It WorkKey AI BiasesThe Possibility Of Kronos Resolving These Bias ConcernsInclusivity by bringing in gurus from other fields other than engineeringData collection to help mold company and employee preferences in real-timeTraining, multiple versions of Kronos, to learn all sets of data input to itIn a Nutshell

These ultimately affect what AI portrays depending on who is using the software. Companies like Twitter have been trying to find ways of salvaging the situation since their AI’s first instance of bias. One of the most recent speculations is Kronos’s position on resolving discrimination in all aspects. Let’s find out if this software is as good as the hype.

What Is Kronos

Kronos is a workforce management company helping organizations to supervise employees using innovative human resource cloud software. This application makes it easier for employees to adapt to their work environment as soon as they fill a position.

How Does It Work

This application gives HR managers the upper hand when dealing with employees. Within a few clicks, new team members get access to the company platform, which enables them to enjoy a seamless working experience.

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The software also works as a great employee engagement platform by allowing top-tier company members to keep tabs, encourage their subordinates on the app, and monitor their progress. A mobile version of this software is also available for specific mobile OS.

The mobile option comes in handy when employees are on the go and would like to keep abreast with the most recent developments on their tasks but don’t want to whip out their laptops.

Key AI Biases

Artificial intelligence is a relatively new development in the world of technology, which is a plus. And while it can be used for the benefit of a company to reduce work and attain success more effortlessly, there’s the risk of bias.

AI works with the help of information fed into its system by humans. However, how the software interprets this data or processes algorithms depends on the amount of information it has. The individuals helping AI understand human processes also determine the outcome of every interaction between robotics and humans.

In this case, AI would depend on specific individuals hired to perform particular tasks over the internet, regardless of their experience with certain products, services, or entities. In the long run, this intel would be monumental in helping AI make decisions.

Since software can’t think critically, the possibility of making biased decisions becomes greater. In light of this, what are the ways Kronos can be used to resolve bias, more so in the workforce? Here are possibilities that can help eliminate discrimination.

The Possibility Of Kronos Resolving These Bias Concerns

Bias in the workplace is rampant, and with the introduction of AI into particular processes, the rates of discrimination are bound to go higher. So, can Kronos be helpful to reduce these instances and make the workplace more employee and employer-friendly? Let’s find out!

Correct Implementation

Before you start using this software, it’s vital to understand how to implement it. Of course, not everyone is a tech guru, so if you have limited knowledge on how to do this, employing a Kronos implementation guide will help you complete the process seamlessly.

Inclusivity by bringing in gurus from other fields other than engineering

For the longest time, AI has relied on engineering for its success. The pitfall of this approach is that it provides one perspective of the concept when ideally, there needs to be a comprehensive one. Inclusivity means other professionals that are essential in providing a seamless application. Different perspectives from employees, employers, and technical staff, especially in the workforce, will help mold the software into something realistic for every department.

Data collection to help mold company and employee preferences in real-time

One of the primary functions of installing this software is data collection and interpretation. Kronos collects information about its users and interprets it to try and understand how various individuals within the workplace operate.

Allowing each person to participate in this exercise through a sensible data collection strategy allows the software to collect accurate information in real-time. Consequently, developers can effortlessly curate a better version of the service to accommodate all individuals by including their preferences in the operations.

Training, multiple versions of Kronos, to learn all sets of data input to it

Whether you’re working with the mobile, online, or desktop version of Kronos, it’s vital to have software that works seamlessly regardless of its version. Training the app to learn all sorts of input data is one way to solve this problem.

Once the software is conversant with the intel on all levels, you can help it digest and use this information across all platforms to create a rounded experience for its users regardless of their device. 

In a Nutshell

Kronos is an innovative workplace solution that makes employee management less strenuous. This application can help curate solutions that reduce office bias instances if the right data acquisition and management policies are implemented.

TAGGED:AI biasartificial intelligencebias in ai
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BySean Mallon
Sean is a freelance writer and big data expert with a passion for exploring the depths of information that can be extracted from massive datasets. With years of experience in the field, he has developed a deep understanding of how data can be harnessed to drive insights and make informed decisions.

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