Artificial Intelligence (Is it Good for Society?)
Artificial Intelligence Potential that could cause Concerns
Because AI has the potential to become more intelligent than any human, we have no surefire way of predicting how it will behave. We can't use past technological developments as much of a basis because we've never created anything that has the ability to, wittingly or unwittingly, outsmart us. The best example of what we could face may be our own evolution.
How AI can take jobs
Well, it turns out, robots might. Leading UK news agency Press Association (PA) is betting that artificial intelligence can fill the gap left by redundant reporters and shuttered local newspaper offices. A new initiative sees them partnered with news automation specialists Urbs Media - and endorsed by a 706,000 Euro Google grant - to create 30,000 localized news reports every month.
How we try to regulate AI
system designers must incorporate important ethical values in algorithms to make sure they correspond to human concerns and learn and adapt in ways that are consistent with community values. This is the reason it is important to ensure that AI ethics are taken seriously and permeate societal decisions.
Adaptability of AI
the ability to learn and adapt as they compile information and make decisions. Effective artificial intelligence must adjust as circumstances or conditions shift. This may involve alterations in financial situations, road conditions, environmental considerations, or military circumstances. AI must integrate these changes in its algorithms and make decisions on how to adapt to the new possibilities.
Surrounding these Apects
there have been extraordinary advances in recent years in the ability of AI systems to incorporate intentionality, intelligence, and adaptability in their algorithms. Rather than being mechanistic or deterministic in how the machines operate, AI software learns as it goes along and incorporates real-world experience in its decisionmaking.
Technology Advancements
As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optimal character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.
Benefits
AI is continuously evolving to benefit many different industries. Machines are wired using a cross-disciplinary approach based in mathematics, computer science, linguistics, psychology, and more.
how artificial intelligence is perceived by the public
AI is one of the most misunderstood concepts in the world. Even top business leaders lack a detailed understanding to AI. The majority of people confuse it with super powered robots, hyper intelligent devices. This is somewhat due to how Hollywood has had an affect on how we think. The lack of clarity around the term enables technology pessimists to warn AI will conquer humans, suppress individual freedom, and destroy personal privacy through a digital "1984." Part of the problem is the lack of a uniformly agreed upon definition.
Intelligence of Artificial Intelligence
AI often is undertaken in conjunction with machine learning and data analytics, and the resulting combination enables intelligent decisionmaking. Machine learning takes data and looks for underlying trends. If it spots something that is relevant for a practical problem, software designers can take that knowledge and use it with data analytics to understand specific issues.
the beginning concept of artificial intelligence
Alan Turing generally is credited with the origin of the concept when he speculated in 1950 about "thinking machines" that could reason at the level of a human being. His well-known "Turing Test" specifies that computers need to complete reasoning puzzles as well as humans in order to be considered "thinking" in an autonomous manner.
autonomous weapons concern
Autonomous weapons or "killer robots" are military robots that can search their targets and aim independently according to pre-programmed instructions. An even bigger problem would be if these "killer robots" are developed by governments that don't care about human life. This problem could increase exponentially with the increase of technology in the future.
Examples of Intentional Aspects of AI
An example from the transportation industry shows how this happens. Autonomous vehicles are equipped with LIDARS (light detection and ranging) and remote sensors that gather information from the vehicle's surroundings. The LIDAR uses light from a radar to see objects in front of and around the vehicle and make instantaneous decisions regarding the presence of objects, distances, and whether the car is about to hit something. On-board computers combine this information with sensor data to determine whether there are any dangerous conditions, the vehicle needs to shift lanes, or it should slow or stop completely. All of that material has to be analyzed instantly to avoid crashes and keep the vehicle in the proper lane.
Human Employment
Another contentious issue many people have with artificial intelligence is how it may affect human employment. With many industries looking to automate certain jobs through the use of intelligent machinery, there is a concern that people would be pushed out of the workforce. Self-driving cars may remove the need for taxis and car-share programs, while manufacturers may easily replace human labor with machines, making people's skills more obsolete.
Intentionality
Artificial intelligence algorithms are designed to make decisions, often using real-time data. They are unlike passive machines that are capable only of mechanical or predetermined responses. Using sensors, digital data, or remote inputs, they combine information from a variety of different sources, analyze the material instantly, and act on the insights derived from those data. As such, they are designed by humans with intentionality and reach conclusions based on their instant analysis.
Financial Industry relations
Artificial intelligence also has applications in the financial industry, where it is used to detect and flag activity in banking and finance such as unusual debit card usage and large account deposits—all of which help a bank's fraud department. Applications for AI are also being used to help streamline and make trading easier. This is done by making supply, demand, and pricing of securities easier to estimate.
Categories within AI: Weak & Strong
Artificial intelligence can be divided into two different categories: weak and strong. Weak artificial intelligence embodies a system designed to carry out one particular job. Weak AI systems include video games such as the chess example from above and personal assistants such as Amazon's Alexa and Apple's Siri. You ask the assistant a question, it answers it for you.
Human Intelligence
Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.
What is Artificial Intelligence?
Artificial intelligence today is properly known as narrow AI (or weak AI), in that it is designed to perform a narrow task (e.g. only facial recognition or only internet searches or only driving a car). However, the long-term goal of many researchers is to create general AI (AGI or strong AI). While narrow AI may outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would outperform humans at nearly every cognitive task.
Loss of Human Jobs Concern
As Artificial Intelligence becomes more and more advanced, it will obviously take over jobs that were once performed by humans. According to a report published by the McKinsey Global Institute, around 800 million jobs could be lost worldwide because of automation by 2030.
Myths & Facts
Common Myth: Super intelligence is impossible or inevitable. Fact: No one knows for sure, it could happen in decades, centuries or never. All AI experts seem to have their own opinion. Common Myth: Only Luddites worry about AI. Fact: Many top AI researchers are concerned. Common Myth: AI turning evil or conscious. Fact:AI turning competent with goals misaligned with ours. Common Myth: Robots are the main concern. Fact: The main concern is misaligned intelligence, it needs no one, only an internet connection. Common Myth: AI can't control humans. Fact: Intelligence enables control: we control tigers by being smarter than them. Common Myth: Machines don't have goals. Fact: Heat-seeking missiles have a goal. Mythical Worry: Super intelligence is just years away. Actual Worry: It's at least decades, but it might take that long to make it safe.
The Use of AI in The Real World (Interview with Dr. Yvonne Bernard)
In research laboratories, it is always important to make sure that the algorithms to be applied are well parameterized and suitable for the targeted data set. In business life one often does not want to and cannot spend this time to evaluate every possible parameter set. Moreover, a learning algorithm that learns something unexpected is great for a researcher but cannot be tolerated in business.
Artificial Intelligence Bias
It is an unfortunate fact that human beings are sometimes biased against other religions, genders, nationalities, etc. And this bias may unconsciously also enter into the Artificial Intelligence Systems that are developed by human beings.
Examples of AI
Other examples of machines with artificial intelligence include computers that play chess and self-driving cars. Each of these machines must weigh the consequences of any action they take, as each action will impact the end result. In chess, the end result is winning the game. For self-driving cars, the computer system must account for all external data and compute it to act in a way that prevents a collision.
Invasion of Privacy Concerns
Privacy is a basic human right that everyone deserves. Artificial Intelligence may lead to a loss of privacy in the future. It is possible to track you easily as you go about your day. Latest technologies like facial recognition can find you out in a crowd and all security cameras are equipped with it. The data gathering abilities of AI also mean that a timeline of your daily activities can be created by accessing your data from various social networking sites.
Scrutiny from the public surrounding AI
Since its beginning, artificial intelligence has come under scrutiny from scientists and the public alike. One common theme is the idea that machines will become so highly developed that humans will not be able to keep up and they will take off on their own, redesigning themselves at an exponential rate.
Strong Artificial Intelligence
Strong artificial intelligence systems are systems that carry on the tasks considered to be human-like. These tend to be more complex and complicated systems. They are programmed to handle situations in which they may be required to problem solve without having a person intervene. These kinds of systems can be found in applications like self-driving cars or in hospital operating rooms.
Terrorism Concerns within AI
Terrorist agencies could also use autonomous vehicles to deliver and explode bombs or create guns that can track movement and fire without any human help. These guns are already used at the North and South Korean border. Another fear is that terrorists could access and use the "killer robots" mentioned above. While governments may still be ethical and try to prevent the loss of innocent humans, terrorists will have no such morals and they will use these robots for terror attacks.
Applications
The applications for artificial intelligence are endless. The technology can be applied to many different sectors and industries. AI is being tested and used in the healthcare industry for dosing drugs and different treatment in patients, and for surgical procedures in the operating room.
Safeguards of AI
Through these kinds of safeguards, societies will increase the odds that AI systems are intentional, intelligent, and adaptable while still conforming to basic human values. In that way, countries can move forward and gain the benefits of artificial intelligence and emerging technologies without sacrificing the important qualities that define humanity.
artificial intelligence concepts today
Today, AI generally is thought to refer to "machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment, and intention." According to researchers Shubhendu and Vijay, these software systems "make decisions which normally require [a] human level of expertise" and help people anticipate problems or deal with issues as they come up. Such systems have three qualities that constitute the essence of artificial intelligence: intentionality, intelligence, and adaptability.
