Introduction.
What is refer the name AI as of the introduction about on this topic simply it can describe as artificial intelligence or AI is a technique that allows computers to imitate human actions. AI is the study and creation of computer systems that can perform tasks that would usually require human intelligence, such as vision, speech-recognition, decision-making, and language translation.
In other term, AI is the emulation of human intelligence by computers that have been programmed by humans. Also, the machines must learn to reason and correct themselves as required. Artificial intelligence is achieved by first observing how the human brain thinks, learns, decides, and works when attempting to solve a problem, and then applying the findings to the creation of intelligent software and systems.
Importance and uses of AI.
Machines can now learn from learn from examples and experiences and their mistakes and evolve to perform tasks similar to humans thanks to AI. Deep Learning and Natural Language Processing are heavily used in many of the flashy examples of AI you hear about, such as Facial-Recognition systems, Self-Driving Cars, and Speech-Recognition Systems. Computers can be equipped to perform particular tasks by processing vast quantities of data and identifying patterns in the data using these technologies.
Artificial Intelligence is influenced by for a lot of areas such as,
Biology
Computer Science
Mathematics
Neuroscience
Philosophy
Psychology
Sociology
When considering the importance of Artificial Intelligence, it can point out as follows:
As a result of learning algorithms, just as the algorithm can teach itself how to play any game, it can also teach itself which product to recommend online next.
AI is capable of efficiently and without fatigue performing regular, high-volume computerized tasks.
AI enhances the intelligence of existing goods, similar to how Google Assistant was added as a feature to a new generation of mobile phones.
Deep neural networks enable AI to achieve previously unattainable levels of accuracy. Deep learning, image detection, and object recognition AI techniques can now be used to detect cancer on MRIs as accurately as highly qualified radiologists.
Using neural networks with several hidden layers, AI analyzes more and more data into the deep. The more data you can give them, the more precise and accurate they will become.
Examples of fields that are used "AI" in the real world,
Sports
Rescue Missions
Wildlife Poaching Prevention and Tracking Wildlife Populations
Smart Agriculture
In Healthcare – Better Surgeries and Prosthetics
Examples of Applications that are used "AI" in the real world,
Speech Recognition
Machine Translation
Facial Recognition and Automatic Tagging
Virtual Personal Assistants
Self-Driving Car
Chatbots
AI and its impact on society
The impact of the AI to the society are can be point out as, the industrial and digital information revolutions has, undoubtedly, been substantial on practically all aspects of our society, life, firms, and employment. Furthermore, it will have a significant effect on firms and jobs, resulting in highly integrated organizations with decision-making based on the analysis and utilization of big data, as well as increased global competition among firms. People will be able to purchase products and access services from anywhere in the world through the Internet, as well as take advantage of the endless additional benefits that AI technologies will bring.
AI and ethical questions.
AI is already improving people's lives in a variety of ways, even though society isn't aware of it. When people begin to entrust greater portions of their lives to computers, it will be critical to understanding what kind of ethics AI is driving and who is deciding the rules and who is responsible for AI ethics. Few of these questions can conclude as follows,
Humanity - The use of AI has led people to make some of the most important and sensitive decisions of all time, however, now the machine has the ability to behave in the same way as a human being in this situation, but it needs to be explored further.(need to find out if the computer has human habits such as love and kindness)
Racist AI - When a camera missed the racial sensitivity or when software used to predict potential criminals is biased against black people, also sometimes AI-based photo tagging algorithms can mistakenly label black people as gorillas.
Unemployment - With the advancement of AI almost everything in the world has been able to be automated, which has also had an impact on human labor jobs.
Also there have privacy, Evil AI, Security, AI stupidity (mistakenly learning unethical things) and Inequality ethical questions when dealing with AI.
Conclusion
AI is the new cutting-edge technology and clearly, it has some pros and cons, if people can use AI for good purposes it can give opportunities for new goods and services as well as massive productivity gains while avoiding the risks and drawbacks of increased unemployment and wealth inequity. However, by using AI-based applications are used to getting sensitive decisions and it involves sensitive data, meantime it also has some ethical questions arising.
Reference
Coeckelbergh, M., 2020. AI Ethics. [ebook] MIT Press, pp.47-203. Available at: <https://books.google.lk/books?id=Gs_XDwAAQBAJ&dq=Artificial+Intelligence+(AI)+Ethics:+Ethics+of+AI+and+Ethical+AI&source=gbs_navlinks_s> [Accessed 31 March 2021].
Coghlan, S. and Leins, K., 2020. “Living Robots”: Ethical Questions About Xenobots. The American Journal of Bioethics, [online] 20(5), pp.W1-W3. Available at: <https://www.tandfonline.com/doi/full/10.1080/15265161.2020.1746102> [Accessed 4 April 2021].
Grosz, B. and Stone, P., 2018. A century-long commitment to assessing artificial intelligence and its impact on society. Communications of the ACM, [online] 61(12), pp.68-73. Available at: <https://dl.acm.org/doi/abs/10.1145/3198470> [Accessed 3 April 2021].
Jones, M., Kaufman, E. and Edenberg, E., 2018. AI and the Ethics of Automating Consent. IEEE Security & Privacy, [online] 16(3), pp.64-72. Available at: <https://ieeexplore.ieee.org/document/8395123> [Accessed 6 April 2021].
Stahl, B. and Wright, D., 2018. Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation. IEEE Security & Privacy, [online] 16(3), pp.26-33. Available at: <https://ieeexplore.ieee.org/document/8395078> [Accessed 8 April 2021].
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