PowerPoint Presentation

Presented by:- Tarun Singh Class:- 8th. Artificial Intelligence.

Contents. A.I Introduction. History of A.I. Why we need an A.I.

What is A rtificial Intelligence?. Artificial intelligence (AI) is a computational model capable of activities that we associate with humans such as learning, thinking, decision-making and problem-solving..

In the year 1956, American computer scientist John McCarthy organized the Dartmouth Conference, at which the term ‘Artificial Intelligence’ was first adopted..

Cyber Security Agriculture Analyzing the Data Solving complex issues.

India still has a conventional policing. AI based products open a new window of opportunity to do predictive policing in India. With the help of AI, one can predict the pattern of crime, analyze lot of CCTV footage which are available across the country to identify suspects. Government is digitizing all the records, especially the crime records putting it into one single place called CCTNS where all the data including the image, biometrics, or the criminal history of a convict or suspect is available. Agriculture : It has many uses, for example, it can help sense one how much water the crop needs. For solving complex issues like efficient utilization of available resources. Analyzing the Data : The AI technology helps in analyzing data and thus can improve the efficiency of the systems like power management in cars, mobile devices, weather predictions, video and image analysis..

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Reduction in Human Error: The phrase “ human error ” was born because humans make mistakes from time to time. Computers, however, do not make these mistakes if they are programmed properly. With Artificial intelligence, the decisions are taken from the previously gathered information applying a certain set of algorithms. So errors are reduced and the chance of reaching accuracy with a greater degree of precision is a possibility. Example: In Weather Forecasting using AI they have reduced the majority of human error..

Available 24x7: ​ An Average human will work for 4–6 hours a day excluding the breaks. Humans are built in such a way to get some time out for refreshing themselves and get ready for a new day of work and they even have weekly offed to stay intact with their work-life and personal life. But using AI we can make machines work 24x7 without any breaks and they don’t even get bored, unlike humans.​ Example: Educational Institutes and Helpline centers are getting many queries and issues which can be handled effectively using AI.​.

Helping in Repetitive Jobs: ​ In our day-to-day work, we will be performing many repetitive works like sending a thanking mail, verifying certain documents for errors and many more things. Using artificial intelligence we can productively automate these mundane tasks and can even remove “ boring ” tasks for humans and free them up to be increasingly creative.​ Digital Assistance: ​ Some of the highly advanced organizations use digital assistants to interact with users which saves the need for human resources. The digital assistants also used in many websites to provide things that users want. We can chat with them about what we are looking for. Some chatbots are designed in such a way that it’s become hard to determine that we’re chatting with a chatbot or a human being.​.

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High Costs of Creation: As AI is updating every day the hardware and software need to get updated with time to meet the latest requirements. Machines need repairing and maintenance which need plenty of costs. It’ s creation requires huge costs as they are very complex machines. Making Humans Lazy: AI is making humans lazy with its applications automating the majority of the work. Humans tend to get addicted to these inventions which can cause a problem to future generations..

No Emotions :​ There is no doubt that machines are much better when it comes to working efficiently but they cannot replace the human connection that makes the team. Machines cannot develop a bond with humans which is an essential attribute when comes to Team Management.​ Lacking Out of Box Thinking :​ Machines can perform only those tasks which they are designed or programmed to do, anything out of that they tend to crash or give irrelevant outputs which could be a major backdrop.​.

abstract. Integrity and unbiased systems Access to data, knowledge, technology Unemplyoment Privacy.

Integrity and unbiased systems AI systems learn by analyzing huge volumes of data and they keep adapting through continuous modelling of interaction data and user-feedback. So, how can it be ensured that the initial training of the AI algorithms is unbiased? What if a company introduces bias via the training data set (intentionally or otherwise) in Favour of classes of customers or users?.

Access to data, knowledge, technology In an interconnected world, a small number of companies are collecting vast amounts of data - access to this consolidated data would allow an accurate replay of anybody’s day-to-day life in terms of activities, interactions and explicitly stated or implicitly identified interests ; somebody (or something) could know our mobility history and patterns , or anything of anyone’s mundane life pattern. Privacy The right to privacy is under threat, obviously considering the possibility of unauthorized access to one’s online activity data. But even in the case of an offline user — somebody who has deliberately decided to stay ‘disconnected’ — the right to privacy is still under threat, like a disconnected user moving through a ‘smart city’..

Unemployment ​ This is unemployment which is ‘explained’ by the introduction of new technologies i.e. the jobs replaced by intelligent machines or systems.​ There will be significant changes in the workforce and the markets some roles and jobs will become obsolete, industries will be radically transformed, employment models and relationships will be redefined.​ ​ Ex:- Driver will unemployed because mostly car will be transformed into self-driving car due to that most of the driver will unemployed.

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Transportation : Although it could take a decade or more to perfect them, autonomous cars will one day ferry us from place to place. Manufacturing : AI powered robots work alongside humans to perform a limited range of tasks like assembly and stacking, and predictive analysis sensors keep equipment running smoothly..

Healthcare : In the comparatively AI-nascent field of healthcare, diseases are more quickly and accurately diagnosed, drug discovery is sped up and streamlined, virtual nursing assistants monitor patients and big data analysis helps to create a more personalized patient experience.​ Education : Textbooks are digitized with the help of AI, early-stage virtual tutors assist human instructors and facial analysis gauges the emotions of students to help determine who’s struggling or bored and better tailor the experience to their individual needs..

Media : Journalism is harnessing AI, too, and will continue to benefit from it. Bloomberg uses Cyborg technology to help make quick sense of complex financial reports. The Associated Press employs the natural language abilities of Automated Insights to produce 3,700 earning reports stories per year nearly four times more than in the recent past.​ Customer Service : Last but hardly least, Google is working on an AI assistant that can place human-like calls to make appointments at, say, your neighborhood hair salon. In addition to words, the system understands context and nuance ..

Thank You.