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Artificial Intelligence Is Powerful—And Misunderstood. Here's How We Can Protect Workers
Just as Richards committed vast troves of words to memory in order to master the domain of the Scrabble board, state-of-the-art AI—or deep ­learning—takes in massive amounts of data from a single domain and automatically learns from the data to make specific decisions within that domain.
It can help ­Amazon maximize profit from recommendations or Facebook maximize minutes spent by users in its app, just as it can help banks minimize loan-­default rates or an airport camera determine if a terrorist has queued up for boarding.
But the rise of AI also brings many challenges, and it’s worth taking time to sort between the genuine risks of this coming technological revolution and the misunderstandings and hype that sometimes surround the topic.
Because AI can outperform humans at routine tasks—­provided the task is in one domain with a lot of data—it is technically capable of displacing hundreds of millions of white and blue collar jobs in the next 15 years or so.
In contrast with the U.S. and China, poorer and smaller countries will be unable to reap the economic rewards that will come with AI and less well placed to mitigate job displacement.
Facebook couldn’t resist the temptation to use AI technology to optimize usage and profit, at the expense of user privacy and fostering bias and division.
All of these risks require governments, businesses and technologists to work together to develop a new rule book for AI applications.
General AI requires advanced capabilities such as reasoning, conceptual learning, common sense, planning, creativity and even self-­awareness and emotions, all of which remain beyond our scientific reach.
How Smart Is Artificial Intelligence?
For example, AI has defeated the human world champion of Go, recreated the periodic table of elements, enabled self-driving vehicles, identifed crop diseases, and predicted depression from speech.
Recent AI advances in one capability—pattern recognition—has spawned an investment gold rush for AI startups and machine learning talent from venture capital, corporations, and governments who have recognized the potential competitive advantage.
AI is also used for email filtering, search, personalization, fraud protection, engineering, marketing models, digital distribution, voice recognition, facial recognition, content classification, natural language, video production and even news generation.
The AI machine learning algorithm that composes music is not the same code and architecture as the one that runs in the fuzzy logic controllers in the automatic gearboxes of cars.
version of the Sphinx’s riddle modified for artificial intelligence could be, “What goes on sixes in the morning, on twos in the afternoon and soars at night?” AI is currently crawling on all fours with human assistance in its early stages.
My Rendezvous with Artificial Intelligence: Salt Pepper
Artificial Intelligence: Background The desire to replicate human intelligence in machines, started centuries ago when enthusiasts like Aristotle started working towards taxonomy or knowledge bases (the crux of AI).
Before going further, please go through the definition of sentient which has no relation with the word Sentinels (Straight forward dilemma of a Matrix series fan!) sentient Adjective Meaning: able to perceive or feel things The most raised question of Alan Turing in his research papers revolves around the idea to prove whether a computer can be sentient.
There were tests for a machine which is also known as Turing Test or Imitation game (to prove whether any machine is intelligent enough to pass Turing test) mentions some very interesting arguments like “The argument from consciousness” which states whether machines can replicate the emotions or values like honesty, love etc.
In simplified terms, the whole argument falls into 2 categories The research work done afterward was focused around these 2 arguments answering the key question — “What a machine should do to prove itself intelligent enough?”.
The authors of the book supported the ‘rational’ definition and derived the “Intelligent Agent Conundrum”, wherein the system gathers the input from the external environment and accordingly later defined the actions on that accordingly.
The current AI products in the market are working on the environmental aspect and the action created by us (the user and the creator both) probably by doing market research or by studying the products of the competition.
It is a game of chess (the age-old example to prove someone is intelligent or not) where we choose steps carefully to achieve a single goal and as the match ends every chess piece ends up in the same box.
Ten HR Trends In The Age Of Artificial Intelligence
The future of HR is both digital and human as HR leaders focus on optimizing the combination of human and automated work.
AI Plus Human Intelligence Enhances the Candidate Experience For many companies the first pilots of artificial intelligence are in talent acquisition, as this is the area where companies see significant, measurable, and immediate results in reducing time to hire, increasing productivity for recruiters, and delivering an enhanced candidate experience that is seamless, simple, and intuitive.
The DBS Talent Acquisition team created JIM (Jobs Intelligence Maestro), a virtual recruitment bot powered by artificial intelligence used to conduct candidate screening for those applying to be wealth planning managers, a high volume job in the consumer bank.
Following the introduction of JIM in May 2018, DBS talent acquisition was able to: 1) shorten the screening time from 32 minutes per candidate to 8 minutes per candidate, 2) improve completion rate of job application from 85% to 97% and 3) respond to 96% of all candidate queries through JIM, allowing recruiters to spend more time sharing the culture and values of DBS with candidates.
Recruiters no longer need to spend hours to screen thousands of applicants, freeing them up to perform higher-value work such as sourcing, recruitment marketing, engaging with candidates, and hiring managers.
John Jordan who leads The Academy and Advisor Development at Bank of America calls this a 'life stage navigation curriculum,' assisting Bank of America financial advisors in better understanding the priorities of their customers in various life stages from young parent, to widower, to retiree.
PwC forecasts 20% of executives at U.S. companies with artificial intelligence initiatives report that they will roll out AI across their business this year and expect AI investment to both re-imagine jobs and work processes as well as grow profits and revenue.
Rob Brown, Associate Vice President at Center for the Future of Work at Cognizant Technology Solutions, shares the drivers behind the 21 More Jobs For the Future of Work: 'The vision behind our newest report is to profile futuristic jobs which leverage the power of artificial intelligence to blend technology with the 'human touch' for jobs in the future workplace.'
Head of Business Behavior: The head of business behavior will analyze employee behavioral data such as performance data along with data gathered through personal, environmental and spatial sensors to create strategies to improve employee experience, cross company collaboration, productivity and employee well-being.
As practical uses of AI have exploded in recent years, we look for more companies to establish new jobs focusing on ethical uses of AI to ensure AI's trustworthiness, while also helping to diffuse fears about it.
Figure 4 lists fifteen of these companies below: Skills-based hiring may start by changing a job description and removing a degree requirement, but it requires shifting mindsets on where and how a company sources talent.
These new ways to source non-traditional candidates range from Boot Camps, Coding schools, MOOC's, Technical high schools like P-TECH (a joint high school diploma and associate degree in STEM), Job training conducted at community centers, high schools, or even sponsor a company wide Hackathon.
In fact, workers said they’d be willing to forego 23% of their entire future lifetime earnings in order to have a job that was always meaningful to them.This means that building greater meaning at work is no longer a 'nice to have,' but a business imperative.
Employees who find work highly meaningful are 69% less likely to plan on quitting their jobs within the next six months, and have job tenures that are 7.4 months longer on average than employees who find work lacking in meaning.
As the quest for meaning in the workplace grows, more HR leaders are putting a greater emphasis on communicating their company's culture and sharing their purpose and meaning across the employee population.
Two Powerful Employee Perks Emerge: Access To Natural Light And Career Development The news headlines about which perks create a compelling employee experience seem to be dominated by fads— think treadmill desks, nap pods, and “bring your dog to work day.
In a research poll of 1,614 North American employees, we found that access to natural light and views of the outdoors are the number one attribute of the workplace environment, outranking traditional benefits like onsite cafeterias, fitness centers, and premium perks including on-site childcare (only 4-8% of FORTUNE 100 companies offer on-site child care).
Amazon’s Spheres relies on the premise that natural light, plant life, and healthy activities reduce employee stress and improve job satisfaction more so than a standard office building.
With more than 7 million jobs unfilled, companies are recognizing the importance of creating internal mobility and job rotation programs to keep employees motivated and engaged.
Walmart is also using virtual reality to train 1 million associates across 4,700 stores in the U.S. on various aspects of store operations from taking care of produce to handling crowds on Black Friday.
- On 19. september 2020
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