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The Impact of Artificial Intelligence

Artificial Intelligence (AI) is becoming an important part of our daily life, in social as well as the business environment.

When we take a picture, the AI algorithm identifies and detects the person’s face and tags the individuals when we are posting our photographs on social media sites.

The purpose of organizing global summits that are action-oriented, came from an existing discussion in AI research being dominated by research streams such as the Netflix Prize (improve the movie recommendation algorithm).

The AI for Good series aims to bring forward AI research topics that contribute towards more global obstacles, in particular through the Sustainable Development Goals, while at the same time avoiding typical UN-style conferences where results are usually more abstract.

AI programs have been built and implemented to practices such as diagnosis processes, treatment protocol development, drug development, personalized medicine, and patient monitoring and care.

Additionally, hospitals are looking to AI solutions to support operational initiatives that increase cost-saving, improve patient satisfaction, and satisfy their staffing and workforce needs.

Companies are also developing predictive analytics solutions that help healthcare managers improve business operations through increasing utilization, decreasing patient boarding, reducing the length of stay and optimizing staffing levels.

Crop and soil monitoring uses new algorithms and data collected in the field to manage and track the health of crops making it easier and more sustainable for the farmers.

The AOD has use for artificial intelligence for surrogate operators for combat and training simulators, mission management aids, support systems for tactical decision making, and post-processing of the simulator data into symbolic summaries.

Haitham Baomar and Peter Bentley are leading a team from the University College of London to develop an artificial intelligence-based Intelligent Autopilot System (IAS) designed to teach an autopilot system to behave like a highly experienced pilot who is faced with an emergency situation such as severe weather, turbulence, or system failure.

There are many new possibilities due to what has been coined by The New York Times as “The Great AI Awakening.” One of these possibilities mentioned by Forbes included the providing of adaptive learning programs, which assess and react to a student’s emotions and learning preferences.

It is inevitable that AI technologies will be taking over the classroom in the years to come, thus it is essential that the kinks of these new innovations are worked out before teachers decide whether or not to implement them into their daily schedules.

One of the systems that were started in 1993 was able to review over lacs of transactions per week and over two years it helped identify 400 potential cases of money laundering which would have been equal to $1 billion.

These days AI is prominent in the following use cases in the financial world: The potential uses of AI in government are wide and varied, with recent research suggesting that ‘Cognitive technologies could eventually revolutionize every facet of government operations’.

Artificial Intelligence technologies enable coordination of sensors and effectors, threat detection and identification, marking of enemy positions, target acquisition, coordination and deconfliction of distributed Join Fires between networked combat vehicles and tanks also inside Manned and Unmanned Teams (MUM-T).

Companies are making computer-generated news and reports commercially available, including summarizing team sporting events based on statistical data from the game in English and also financial reports and real estate analyses.

Another firm uses AI to turn structured data into intelligent comments and recommendations in natural language such as financial reports, executive summaries, personalized sales or marketing documents.

Yet another firm has launched an app that is designed to learn how to best engage each individual reader with the exact articles — sent through the right channel at the right time — that will be most relevant to the reader.

It is possible to use AI to predict or generalize the behaviour of customers from their digital footprints in order to target them with personalized promotions or build customer personas automatically.

Moreover, the application of Personality computing AI models can help to reduce the cost of advertising campaigns by adding psychological targeting to more traditional sociodemographic or behavioural targeting.

Algorithms have a host of applications in today’s legal system already, assisting officials ranging from judges to parole officers and public defenders in gauging the predicted likelihood of recidivism of defendants.

An AI-based criminal offender profiling application assigns an exceptionally elevated risk of recidivism to black defendants while, conversely, ascribing low-risk estimate to white defendants significantly more often than statistically expected.

Jobs at extreme risk range from paralegals to fast-food cooks, while job demand is likely to increase for care-related professions ranging from personal healthcare to the clergy.

Some experts suggest that AI applications cannot, by definition, successfully simulate genuine human empathy and that the use of AI technology in fields such as customer service or psychotherapy was deeply misguided.

Few experts are also bothered that AI researchers (and some philosophers) were willing to view the human mind as nothing more than a computer program (a position is now known as computationalism) which imply that AI research devalues human life.

Physicist Stephen Hawking, Microsoft founder Bill Gates, and SpaceX founder Elon Musk have expressed concerns about the possibility that AI could evolve to the point that humans could not control it, with Hawking theorizing that this could ‘spell the end of the human race’.

Artificial intelligence being used in schools to detect self-harm and bullying

One of England's biggest academy chains is testing pupils' mental health using an AI (artificial intelligence) tool which can predict self-harm, drug abuse and eating disorders, Sky News can reveal.

leading technology think tank has called the move 'concerning', saying 'mission creep' could mean the test is used to stream pupils and limit their educational potential.

The test, which is taken twice a year, asks students to imagine a space they feel comfortable in, then poses a series of abstract questions, such as 'how easy is it for somebody to come into your space?'

Dr Simon Walker, a cognitive scientist who conducted studies with 10,000 students in order to develop AS Tracking, says this allows teachers to hear pupils' 'hidden voice' - in contrast to traditional surveys, which tend to ask more direct questions.

'A 13-year-old girl or boy isn't going to tell a teacher whether they're feeling popular or thinking about self harm, so getting reliable information is very difficult,' he says.

Once a child has finished the questionnaire, the results are sent to STEER, the company behind AS Tracking, which compares the data with its psychological model, then flags students which need attention in its teacher dashboard.

'Exploring new ways for students to ask for help might be valuable, but aren't a substitute for giving teachers time to know their students and maintain supportive relationships,' deputy general secretary Amanda Brown told Sky News.