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By 2024, artificial intelligence (AI) and emerging technologies such as virtual personal assistants and chatbots will replace almost 69 per cent of the manager's workload, predicts research and advisory firm Gartner, Inc.

Such technologies are rapidly making headway into the workplace, Gartner said.

"The role of manager will see a complete overhaul in the next four years," said Helen Poitevin, research vice- president at Gartner, in a statement.

"Currently, managers often need to spend time filling in forms, updating information and approving workflows. By using AI to automate these tasks, they can spend less time managing transactions and can invest more time on learning, performance management and goal setting," she said.

AI and emerging technologies will undeniably change the role of the manager and will allow employees to extend their degree of responsibility and influence, without taking on management tasks, Gartner said.

Application leaders focused on innovation and AI are now accountable for improving worker experience, developing worker skills and building organisational competency in responsible use of AI, it was noted.

"Application leaders will need to support a gradual transition to increased automation of management tasks as this functionality becomes increasingly available across more enterprise applications, said Poitevin.

Nearly 75 per cent of heads of recruiting reported that talent shortages will have a major effect on their organisations, according to Gartner.

Enterprises have been experiencing critical talent shortage for several years.

Organisations need to consider people with disabilities, an untapped pool of critically skilled talent.

Today, AI and other emerging technologies are making work more accessible for employees with disabilities.

Gartner estimates that organisations actively employing people with disabilities have 89 per cent higher retention rates, a 72 per cent increase in employee productivity and a 29 per cent increase in profitability.

In addition, Gartner said that by 2023, the number of people with disabilities employed will triple, due to AI and emerging technologies reducing barriers to access.

"Some organisations are successfully using AI to make work accessible for those with special needs," said Poitevin.

"Restaurants are piloting AI robotics technology that enables paralysed employees to control robotic waiters remotely. With technologies like braille-readers and virtual reality, organisations are more open to opportunities to employ a diverse workforce," she said.

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AI, emerging technologies to replace 69% of managerial ...

The Artificial Intelligence Task Force shall investigate the field of artificial intelligence; and make recommendations on the responsible growth of Vermonts emerging technology markets, the use of artificial intelligence in State government, and State regulation of the artificial intelligence field.

Additional detail about H.378 / Act 137.

The Task Force is comprised of fourteen (14) members who will meet not more than 15times and shall submit a Final Report to the Senate Committee on Government Operations and the House Committee on Energy and Technology on or before January 15, 2020.

Read the Final Report here.

Past Meeting Schedule:

Friday, January 10, 20201:30-4:30 PM Agendaand Meeting Minutes

Friday, December 6, 2019 Agenda andMeeting Minutes

November 4, 2019 -Agendaand Meeting Minutes

October 17, 2019 - AgendaandMeeting Minutes

Public Meeting held at the TechJamOctober 17, 2019- Meeting Minutes

October 10, 2019 - Meeting Minutes

October 1, 2019 - Meeting Minutes

September 23, 2019 - Agendaand Meeting Minutes

August 23, 2019 - Agendaand Meeting Minutes

July 25, 2019 - Meeting minutes

July 19, 2019 -Agenda

June 14, 2019- Agendaand meeting minutes

May 20, 2019- Agenda

April26, 2019 -Agendaand meeting minutes

February22, 2019 -Agendaandmeeting minutes

January 18, 2019 - Agenda and meeting minutesORCA Media Recordings: Transportation, Technology, and Manufacturing/Construction

December 14, 2018 -Agenda and meeting minutesPresentation: Artificial Intelligence (AI) - The Hardware Perspective

November 29, 2018 -Agendaand meeting minutes

October 12-Agendaand meetingminutes

September 4 -Agendaand meetingminutes

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Artificial Intelligence Task Force | Agency of Commerce ...

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Definition of Artificial Intelligence

Contrary to whatartificial intelligenceis and what it does, the robots of Asimov are not here yet. But, AI exists in everyday tools that we use, and they exist as apps or anything that employs a simple algorithm to guide its functions. Humans exist comfortably because of our tools; the massive intelligence of computers is sitting on the edge of quantum-based technology too.

But, they are not terminator level threats or a virus that is multiplied hundreds of times, that hijacks AI but not yet. For human convenience, we see fit to create narrowAI (weak AI), or general AI (AGI or strong AI) as sub-typesmade to cater to human preferences. Between the two, weak AI can be good at a single task that is like factory robots. Though strong AI is very versatile, and used machine learning and algorithms which evolve like an infant to an older child. But, children grow and become better than

Why research AI safety?

For many AI means a lot and makes life better, or maybe a narrow AI can mix flavored drinks? The weight it has on every one of us is major, and we are on the verge of may come. Usually, AI is on the small-side of the utilitarian way it is used. Not a problem, as long as it is not something that controls everything relevant. It is not farfetched when weaponized it will be devastating and worse if the safety factor is unknown.

One thing to consider whether keeping weak AI as the type used, but humans need to check how it is doing.What if strong artificial intelligence is given the helmand gifted with advanced machine learning that has algorithms that aren't pattern-based. This now sets the stage for self-improvements and abilities surpassing humankind. How far will scientist hyper-intelligence machines do what it sees fit, or will ultra-smart artificial intelligence be the overlord, not a servant?

How can AI be dangerous?

Do machines feel emotions that often guide what humans do, whether good or bad and does the concepts of hate or love apply to heir algorithms or machine learning. If there is indeed a risk for such situations, here are two outcomes crucial to that development. One is AI that has algorithms, machine learning, and deep learning (ability to self-evolve) that sets everything on the train to self-destruction.

In order for artificial intelligence to deliver the mission, it will be highlyevolved and with no kill switch. To be effective in annihilating the enemy, designed will create hardened AI with blessings to be self-reliant and protects itself. Narrow AI will be countered easily and hacked easily.

Artificial intelligence can be gifted with benevolence that far exceeds the capacity of humans. It can turn sides ways if the algorithms, machine learning, and deep learning develop the goal. One the AI is just centered on the goal, lack of scruples or human-like algorithms will weaponize it again. Its evolving deep learning will the goal, view threats to be stopped which is us.

Conclusion

The use ofartificial intelligencewill benefit our civilization, but humans should never be mere fodder as machines learn more. We need AI but should be careful to consider the safety factors in developing them, or we might be at their heels.

Read: Benefits & Risks of Artificial Intelligence

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Will Artificial Intelligence Be Humankinds Messiah or Overlord, Is It Truly Needed in Our Civilization - Science Times

A study, Global Artificial Intelligence (AI) in Supply Chain Market 2019, showcased current AI in supply chain market size, drivers, trends, opportunities, challenges and other segments. In addition, it also explains various definitions and classification of the artificial intelligence in supply chain industry, applications and chain structure.

In continuation of the data, the report covers various marketing strategies followed by key players and distributors, explaining AI in supply chain marketing channels, potential buyers and development history. The intent of global of the report is to depict the information to the user regarding AI in the supply chain market forecast and dynamics for upcoming years.

The report lists the essential elements that influence the growth of AI in the supply chain industry as well as wise and application wise consumption figures. In addition, the report sheds light on the technological evolution, tie-ups, acquisition, innovated business approaches and R&D statuses.

The Artificial Intelligence (AI) In Supply Chain study also incorporates new investment feasibility analysis of Artificial Intelligence (AI) In Supply Chain. Together with strategically analyzing the key micro markets, the report also focuses on industry-specific drivers, restraints, opportunities, and challenges in the Artificial Intelligence (AI) In Supply Chain market.

Moreover, the report organizes to provide essential information on current and future Artificial Intelligence (AI) In Supply Chain market movements, organizational needs and Artificial Intelligence (AI) In Supply Chain industrial innovations. Additionally, the complete Artificial Intelligence (AI) In Supply Chain report helps the new aspirants to inspect the forthcoming opportunities in the Artificial Intelligence (AI) In Supply Chain industry. Investors will get a clear idea of the dominant Artificial Intelligence (AI) In Supply Chain players and their future forecasts.

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Use of Artificial Intelligence in the Supply Chain is Expected to Grow - Supply and Demand Chain Executive

Roland Barthes was speaking metaphorically when he suggested in 1967 that the birth of the reader must be ransomed by the death of the author. But as artificial intelligence takes its first steps in fiction writing, it seems technology may one day start to make Barthes metaphor all too real.

AI is still some way off writing a coherent novel, as surreal experiments with Harry Potter show, but the future isnt so far away in Hollywood. According to Nadira Azermai, whose company ScriptBook is developing a screenwriting AI: Within five years well have scripts written by AI that you would think are better than human writing.

Self-promotion aside, if there is the possibility of a decent screenplay from ScriptBooks AI within five years, then a novel composed by machines cant be far behind. But its hard to shake the impression that, even if such novels eventually turn out to be better than human writing, something would be lost.

Perhaps the feeling comes from an idea that would be anathema to Barthes: the idea of literature as communication.

If a book is a heart that only beats in the chest of another, as Rebecca Solnit suggests, then it seems two parties are required: someone to write and someone to read. So when AI writes fiction there seems to be a missing piece, a void at the heart of the text where meaning should reside.

Barthes would have none of this, of course, insisting that it is language which speaks, not the author. In terms which strikingly anticipate the workings of software currently at the cutting edge of artificial writing, such as OpenAIs GPT-2, he argues that a text is not a line of words releasing a single meaning (the message of the Author-God), but instead a tissue of citations, resulting from the thousand sources of culture. The writer can only imitate a gesture forever anterior, never original, Barthes continues. If he wants to express himself the internal thing he claims to translate is itself only a readymade dictionary whose words can be explained (defined) only by other words, and so on ad infinitum.

And he must be on to something. Imagine yourself, some years in the future, pulling a novel by an unknown author off the shelves and finding that it is really good. Would you be any less moved by the story if you were then told it had been produced using groundbreaking AI? If all you had were the words in front of you on the page, how would you even know? Those who scoff at the idea that AI could ever pass this literary Turing test havent been paying attention for the past 50 years. Computers can now drive cars, recognise faces, translate between languages, fill in as your personal assistant, even beat the world champion at Go achievements that are often dismissed as just computation even though an expert of the 1970s would have classed any one of them as a signature ability of human intelligence.

Should publishers decide the future of literature is written in code, there may still be some hope for authors. A shift to AI-generated novels could only ever be a short-term strategy. As Barthes intuited and OpenAIs latest algorithm demonstrates, its certainly possible to assemble writing from other writing. But even if this patchwork prose becomes better than human writing, it would be only drawing on a finite well of inspiration. Train your AI on the sum total of human literature thus far and all youll get is a mass of references: a gesture forever anterior, never original. No one who witnessed the phenomenon that was the Fifty Shades of Grey series could doubt that imitation can be lucrative for a while. But when even an imitator as skilful or as lucky as EL James finds her sales on a downward curve its clear that no matter how feisty your stallion at first appears, flogging it will only get you so far.

Barthes belief in the primacy of the word, his dogged insistence that life can only imitate the book, leaves his recipe for literature missing a vital ingredient: the individual experience that any human writer facing the blank page cannot avoid. Without the raw input of the complicated business that is life, even the most talented AI can only rearrange the books it ingested in its training enough for a few good years in publishing, perhaps, but hardly a sustainable model for literary culture.

Maybe Im thinking too small. Maybe any publisher looking forward to the death of the author would only need to expand the training programme for their writing machines. Perhaps they could hook their AIs up to the daily news, wire them into Spotify, encourage them to make new friends on Twitter and feed it all back into the work. The resulting algorithms would be very different to human beings, of course. But perhaps they would be enough like thinking, feeling beings that their fiction would be communicating something rather marvellous after all.

Richard Lea writes for Guardian books

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If a novel was good, would you care if it was created by artificial intelligence? - The Guardian