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| The Future of AI |
If it Makes You Feel Any Better, Here are a Handful of Ways AI Will
Change Your World. It is fair to say that artificial intelligence represents
one of the fastest-growing innovations in human history — and a technology with
an unmeasurable impact across all future industries. No doubt AI is an
important force behind the first wave of emerging technologies (big data, robotics,
IoT. Lately, though, generative AI has been pushing that limit even further by
expanding what we can do with AI. AI-based technology is now being used by 42
percent of enterprise-scale businesses, while another 40 percent are
considering some type of AI development. Meanwhile, generative AI has been
adopted by 38 percent of organizations in some form, and an additional 42
percent are currently considering its use. As AI undergoes rapid change, read
on to find out what that could mean for industries and society alike.
AI has evolved since 1951 when the first known example of a computer
program with AI was written by Christopher Strachey, who developed checkers for
play on Ferranti Mark I at University School, Manchester. This has included
IBM's Deep Blue beating world chess champion Garry Kasparov in 1997, and more
recently when the same company cracked Jeopardy! with Watson, using machine
learning and deep learning algorithms in 2011. Generative AI was next up on the
evolution list as OpenAI released its initial GPT models in 2018, turning yet
another page to invigorate a new chapter. Here we are witnessing the emergence
of OpenAI models GPT-4 and ChatGPT that have resulted in multiple AI generators
being able to process queries and produce relevant text, audio, images, or
other forms of content. In the case of RNA sequencing for vaccines and modeling
human speech, AI has been used to help here too; these applications are based
upon machine learning but have moved away from tabulations or motivations towards
being more about perception, reasoning, and generalization.
Increased Automation
AI will be leveraged for business on a larger scale of operations since
55% of organizations have already started experimenting with AI, indicating
more automation in the coming years. Gone are the days when companies had to
assign people just for attending simple calls, while AI can do that saving
manpower you better use it handling complex tasks. In addition, AI can sift
through an ocean of data and translate the insights into user-friendly visual
representations that also streamline decision-making. With instant insights in
hand, company leaders need not spend time themselves to go through the data and
can make well-informed decisions.
Destroying Jobs
There is an evident feeling that all this business automation would
lead to massive job losses. In fact, workers suspect that nearly a third of
everything they do could be done by AI. Though AI has been proven to be
beneficial in the function of workplaces, it's not impartial with respect to
industries and professions. Though manual jobs such as secretaries face the
threat of automation, other roles including machine learning specialists and
information security analysts have seen an increased demand. AI will be used to
support human workers but not substitute for them, particularly those in roles
requiring more skill or creativity. This means workers will either be required
to learn new tools or AI needs both and may even take over the role, pushing
training into gear at the company before we are replaced by bots.
Data Privacy Concerns
Generative AI tools need tons of data to be trained on, and this has
become the talk of the town. The FTC questions whether OpenAI is “hurting
consumers” from the misuse of personal data, after it surfaced that OpenAI
potentially breached European laws on data protection. As a result of this
survey, the Biden-Harris administration sought to create an AI Bill of Rights
in which one such core principle is individual data protection. While such
legislation necessarily lacks serious legal bite, it is a sign of the shift
toward valuing data privacy and efforts to make AI companies more accountable
for how they build training datasets.
Higher Regulation
AI lawsuits in 2024 may change the light on specific legal issues.
Intellectual property has also been a concern, highlighted by the copyright
cases filed against OpenAI on behalf of writers and musicians as well as
companies like The New York Times. These lawsuits are setting important legal
precedents for what constitutes private vs. public property in the eyes of U.S.
law, and should OpenAI lose this could set them back terribly, as well as
others that may follow in their footsteps within AI fields.
Climate Change Issues
At an even larger scale, AI is destined to affect sustainability in
multiple ways and has the potential to be one of our biggest bets as well. Some
optimists may see AI as a tool for corporations to hyper-optimize their supply
chains, engaging in aspects like predictive maintenance which can cut down on
carbon use. However, AI itself could also be the main factor behind climate
change. The havoc this could wreak on the delicate sustainability balance in
tech is best left imagined — given how energy expenditures to create and
maintain AI models might push carbon emissions up by 80 percent.
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| AI Next World |
Which Industries Will Be Affected the Most by AI?
Modern AI has already touched virtually every major industry. Here are
some of the industries in which AI and ML are making the most fundamental
changes.
AI in Manufacturing
AI has had a significant impact on manufacturing for years. The
robotics industry is one that has been effectively working with AI powers for
some time now, thanks to their old-school manufacturing bots — dating back as
early as the 1960s and 70s. Amongst this growing area are industrial robots
working with humans on simple assembly or stacking tasks and predictive
analysis sensors that help to keep equipment operational.
AI in Healthcare
It is indeed unbelievable, but yes, the AI healthcare system has
started reorganizing human accessibility to health centers. AI has been enabled
by its ability to analyze big data, which in turn allows AI to be useful for
quicker and more accurate disease diagnosis, accelerating drug discovery,
making it less costly, and improving patient care via virtual nursing
assistants.
AI in Finance
Banks and insurers are using AI for everything from detecting fraud to
conducting audits or evaluating borrowers. In addition, traders have benefited
from machine learning to look at millions of data points simultaneously and
make lightning speed assessments on risk and smart investment decisions.
AI in Education
The future of AI will turn the table on how humans learn, at every age.
AI like machine learning, natural language processing, and facial recognition
are used to digitize textbooks, detect plagiarism, and gauge the emotions of
students to find out who is struggling or bored.
AI in the Customer Service
Nobody enjoys a robocall but AI for customer service can offer the
field data-driven tools that enable actionable results on both ends of a
consumer experience. The AI tools leveraging the customer service industry are
chatbots and virtual assistants.
Artificial Intelligence in Transportation
Another sector that is almost certain to experience a massive overhaul
through AI. AI will play a major role in our means of transportation — anything
from self-driving cars to AI travel planners.
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