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Sample Press Release #9 of Kathleen Madrid del Rosario Manuel 10.39 AM 08/08/2022. Apollo Technical, an IT and engineering recruitment agency, conducts research on productivity. Source: https://www.apollotechnical.com/employee-productivity-statistics/ ________________________ IT and engineering recruitment agency Apollo Technical has come up with 15 productivity statistics for 2022 Defined as “an assessment of the efficiency of a worker or group of workers,” employee productivity is necessary for a company to turn a profit. However, according to this Apollo Technical research, workers are productive only 60% of the time and are more productive when they are working at home. Some scenarios that hamper productivity are getting called or interrupted every 3 minutes as well as ineffective meetings. The most useful statistic is that of those polled, many workers have said that they are more productive when working from home. This is because they do not have to commute to work, dress up for work and since there are no commutes, they feel more comfortable doing their job even to the point of extending more hours after work to finish a project. The statistics indicates that 86% of employees prefer to get work done alone. This is both in the workplace and home scenario. People say there are less distractions when they work alone and are separated from others. They can give their total focus on the work. There is also less distraction from the environment. A word on meetings indicates that many employees do the following in meetings: daydream (91%), slept (39%), worked on other work (73%), considered it a waste of time (50%) and complained that it was ineffective (89%). For most thus, meetings are very unproductive. Some of the good findings show that when employees are allowed to participate in big decision-making, they become more productive. If they are allowed to input on big decisions they feel more respected and their voice heard, and this makes them more productive at work. One of the good findings is that if employees are allowed to work from home one day a month their happiness increases by 24%. When happiness increases, productivity increases. The study overall says that productivity can be increased with good morale produced from working from home, being asked inputs for major decision in the company and if more people are allowed to work from home at least once a month and to work on their tasks alone meaning by themselves. The last reason also helps many introverted workers. Read the report at https://www.apollotechnical.com/employee-productivity-statistics/ to know what increases or decreases employee productivity in the workplace.

My name is Kathleen and some of the jobs I held were as Communications Specialist and Business Reporter. I am a homeschooling mother now.

I was inspired to research and write this article after reading Tom Taulli’s article, “Facial recognition bans: what do they mean for AI (Artificial Intelligence) in Forbes.com. Here is his article:

https://www.forbes.com/sites/tomtaulli/2020/06/13/facial-recognition-bans-what-do-they-mean-for-ai-artificial-intelligence/?sh=1ea18c6a46ee

 

The New Buzzword is Artificial Intelligence

By Kathleen Madrid del Rosario Manuel

Metro Manila, March 5 2021

Machines should only do what humans cannot. --- Jack Ma

In an article, Alibaba founder Jack Ma: ‘AI will cause more people pain than happiness’

Machines, because of machine learning, and human data scientists who have found a way to aggregate and sift through myriad of data, have brought about a point of view that says machines will automatically replace some humans in jobs.

The human spirit and endurance has been such that spacecraft have astronauts and oil rigs are manned by engineers. The loneliest job in the world, according to an article by Kristina Rudic in vault.com, entitled World’s Loneliest Job, is a fire lookout at Gila National Forest. Gila National Forest, located in New Mexico and a lookout is supposed to warn about fire that may start and consume the forest. Months on end, the looker will be by himself, a pair of binoculars for his companion in his work.

We marvel at the tests of limits and endurance people could take. Loneliness is seen from the outside, with people noticing who they think is lonely when what they really see is a human used to little or no human contact and quite accustomed to it.

That is what the pandemic COVID-19 served to reinterate. That human life is fragile and should matter, whether lonely, alone or not. Here we see how artificial intelligence could make even more people lonely and detached.

What about artificial intelligence and how it is laying claim to the future? AI, hand in hand with machine learning, are producing computers, equipment and robots whom they say will take over our jobs and do our work for us.

The cost of AI has caused a shift in resource management and maximization for companies, both those big companies and medium to small corporations, who now must get data scientists and software and hardware specialists who will feed them dashboard metrics which will supposedly increase productivity, sales, level operations and make their employees, clients, customers and management prepared for the new future (with AI versus a pre-AI future).

I have read articles about the doomsday scenario robots and artificial intelligence will cause to the world population. I get a bit apprehensive everytime, being a mother of children below 18, and aspiring to go back to the workforce and thinking if a self-driving car will make it in the streets of Metro Manila.

I think AI use should be used in three main things. One, is is to increase food security hand-in-hand with the farmers and fishermen and traders, to the supermarkets, stores and restaurants. Two, AI can be used to assist humans, not replace them, their life, their raison d’etre and their work, job, livelihood or business. Three, artificial intelligence has use in cybersecurity.

Artificial intelligence should be there to make us feel secure, not whittle or whitewash us out.

There must be a way for AI to come up with ideas the promote food and job security and decrease the risk of cyberspace attacks on our website real estate.

This idea is to promote robots working for, and alongside humans, instead of being a threat to both job and peace of mind.

Robots are there to assist and not challenge or else there will be selectivity in all aspects. Considering the limitations of neural networks and considering the breakdown of machines and thus constant upkeep, what will happen is we will keep using AI and machine learning in industries and occupations which we no longer want to handle or thrive, or give to the Third-world economies to do as outsourced work.  

It is an idea that AI and machine learning will create a hegemony of work culture, that we get to select which jobs should be peak and increasing in number. Corollarily, that AI and machine learning gets to choose which jobs to render extinct or useless., through robots or machines or programs.

This should not be the case. The selectivity must be such that artificial intelligence should be used to select which industries and professions to favor and make more productive, not curry to or banish.

If we are not careful, what will be left are designers and developers of software, hardware and programs for the robots that increase farm productivity instead of the very humans and institutions they are trying to replace. We will be left with Salesforce engineers and experts and no longer be with the sales personnel who are responsible for doing business and territorial development and expansion or product designers who see how humans actually use and re-use their products and services.

If we do not have AI and machine learning regulations, what we will have a surplus of are data scientists whose predicative ability lies only within the data that was gathered and encoded by humans themselves, the very thing they are trying to replace with the machines they are designing and machine and robot creators and maintenance personnel.

The threat is to remove frontliners and for self-driving cars, the drivers themselves. You go visit a website and what will talk with you are chatbots who seem artificial even though they are intelligent (“Thank you for choosing tulle in white. The feel of tulle is soft and fairy-like.”) Cars may be invented that deliver what you ordered although cannot control when the human steps on something slippery and bashes his head on the car-deliveryman. Human interaction is what is being humanly interrupted.

Although they say that in as little as thirty years, many of the scenarios, actual and imaginable, will have been thought of by data scientists and mined for data, programmed by their AI software engineers and maintained by their AI hardware engineers, one misses the point exactly by going full force with artificial intelligence and machine learning.

Big data, big tech and data science misses the big picture for two reasons. One cannot see and encapsulate all the possible scenarios, including the effects of the emotions and thought processes that come into why humans do something. A machine, though without feeling, is ultimately not afraid or sad but is quite used to being what it is, an object we take pains turning into a pedigreed object that must be maintained.

Data science, data encryption, data encoding and data gathering will be the most sought after jobs as we set to encode and enter data that will be examined, studied and analyzed, for past information, a predictable present and a hoped for future with management-set objectives. This spells a foreboding because jobs will be skewed towards serving the pedigreed objects that are programs and robots, they that are dashboard and metrics sources, and computing jobs.

Another reason big data, data science and big tech do not see is that human explanation separates hard science into soft science. AI cannot begin to figure out why and how humans will do something (like they have come up with AI, machine learning, robots and neural network programming), just that they do.

There will be no rise of the machines but always, a selectivity, on what machines will rise, what industries artificial intelligence could be useful for, and who will be on the receiving end, job-wise and life-wise.

None the wiser, the new buzzword is artificial intelligence but just how intelligent these machines, robots and software and programs are still depends on a human. We must be careful about the rise of these machines because we still need humans for these machines’ upkeep. Enough with the statement the simplistic machines will replace humans and more of using AI and machine learning for the majority and common good.

References:

https://www.theguardian.com/technology/2017/apr/24/alibaba-jack-ma-artificial-intelligence-more-pain-than-happiness

https://www.vault.com/blogs/job-search/the-worlds-loneliest-job

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