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Important facts of Artificial Intelligence (Al )

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Notions of (AI) Artificial Intelligence are typically misconstrued, and technology is misunderstood. These facts shed light on what role AI plays in our life. When it comes to work and where it will be in the future.

The internet is a beautiful place. We can go onto Google and search for whatever knowledge we seek or find (and instantly buy) whatever our heart’s desire. It comes at the caveat of coming across information that might not be coming from a source of truth.

So We’re talking about Artificial Intelligence (AI). AI uses human intelligence programmed into machines like computers and mobile devices to think, work, and problem-solve like humans.

Important facts of Artificial Intelligence (Al ) you should know:

Artificial Intelligence  Saves Time and Money by Solving for Inefficiency

Time-saving convenience. It’s the reason we all love having technology in our lives. Whether it’s ordering a gift to be delivered the next day because of procrastination or using an app to shut off any lights in the house, we might have missed. Could you imagine your day to day without it?

Similarly, when it comes to work, AI is there to do the task you don’t have time for or just don’t want to do. So, AI becomes extremely useful for businesses who are looking to turn inefficiencies into efficiencies, save workers time, or improve ROI. AI might sound too good to be true, but it’s not. AI gives you time back to do the work that matters most by:

So In this article let’s talk about these many repetitive tasks in our jobs that we (not surprisingly) dislike doing every day. These tasks simply take up too much of our time, and we wish there was a “better way” of doing something. How does AI solve the inefficiencies we face during work hours? Let’s talk about recruiters, for example. Recruiters set out in search of the best talent.

AI Can Be Ethical if Programmed without Bias

This is a touchy and intricate subject. The fact of the matter is, AI isn’t inherently biased. If AI does have bias, it’s because of human error. Why is that? And, as we are the ones building AI to mirror ourselves, machine learning can take on the bias of the builder. Also, AI is only as accurate as the data you’re feeding it. Bad data can contain bias based on gender, age, or race. This bad data has led to a few notable cases of discrimination with companies like Amazon and Facebook.

So how do we create AI without bias?

Identifying accurate data, multiple sources of data, understanding the limitations of your data are the building blocks of responsible AI. We need to take an approach that depends on trust and responsibility. Like Uncle Ben said, “With great power comes great responsibility,” and definitely can have those superhuman-like strengths. There are also many helpful resources from industry leaders that can help reduce bias in AI to see that it’s used fairly:

Especially in the world of recruiting and hiring, AI can create a more ethical process or screening and hiring candidates. Bias can surface by just reading what candidates may have on their resume or interviewing candidates face-to-face for positions. AI can perform basic level filtering.

AI Will Not Replace People or Remove Human Touch

The biggest myth about AI is that it will make people obsolete. And, as noted above, many people believe this is the case. But the real relationship between AI and humans paints an entirely different picture. This new technology’s implications are still being revealed, but we still have reliable data to show that AI isn’t the human worker’s end.

Change is a scary thing, especially when it comes to work. The feeling of being unnecessary anymore is one we all face day-to-day. But AI is here to help us do our jobs better, not take our job away. While all jobs will change as new technologies emerge, few jobs will actually disappear. What’s really changing is how we do work and how our work gets done. Within the education, healthcare, and public sector, AI has created more jobs than it has eliminated.

These new jobs come in the form of supporting AI. The U.S. Bureau of Labor Statistics expects the field of computer and information research to grow by about 19% between 2016 and 2026, much faster than the growth expected for all other jobs thanks to the demand for people who can develop AI technology. But also, there’s now an ever-growing demand for soft skills.

AI is a whiz at hard skills, but AI can not replicate the soft skills we have. People will probably always have the upper hand in communicating, team building, collaborating, critical thinking, and creating. Jobs like Creative Directors, Human Resource Managers, UX/UI Specialists, and Sales Managers can’t be replaced by AI.

AI Will Ready the Workplace for the Future

We’re at the beginning of a brand new decade. The future is bright, and AI is starting to play a considerable role in creating the workplace of tomorrow. AI adoption will happen faster than you might expect. By 2030, some 70% of companies might have adopted at least one type of AI technology.

How we do work, from the moment we start our job search, to how we’re trained for the job, to how our skills are developed on the job, AI will help guide the way. A chatbot will answer any questions we might have about our new role, from benefits to signing into our email. It’ll also give us advice on our career path and provide the opportunity to check in with how we feel about our job. Where do I get my W2? Can I take public transit to the office? All of this and more will most likely be wholly digital and answered by AI.

AI will also majorly support the HR, manufacturing, or logistics areas of a company. This will help them automate their processes to become more efficient and make time for a more hands-on approach with employees. Time and people management will also be easier from the top down when managers can get all of their information on a dashboard, powered with data from AI.

Culture will also need to change to embrace this data-driven culture of AI. With the importance of data to be real-time, our decisions across an organization will support the best data-mining activities. We’ll have to think differently when it comes to analytics. This problem solving will lead to new and emerging roles in data science as well as customer insights. This, in turn, will help all areas of a business make a decision.

Conclusion

Therefore in this Article we talked about Important facts of Artificial Intelligence (Al ) and we hope you earn some information about the Al.

 

 

 

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