IT776 A Artificial Intelligence Sample
1) Clearly describe the case and related ethical/philosophical dilemma/question?
AI means “Artificial intelligence” this refers to machines that imitate the intelligence of humans to complete tasks and can iteratively develop themselves based on the collected information. “Artificial intelligence” displays in a numerical form. “Artificial intelligence” can change the workforce. “Artificial intelligence” technology is used everywhere. “Artificial intelligence” is the 4th “industrial revolution”. “Artificial intelligence” is a kind of transform system. This is the algorithm system. This technology is based on the computer system. “Artificial intelligence” permits “machines to model”. This “Artificial intelligence” system is mainly used in various industries to make this intelligent and automatic. Different smart assistants are using this “Artificial intelligence” technology. Most tech companies have used this technology to get better performance (Nath et al. 2021). “Artificial intelligence” is a “wide-ranging” chapter of computer science involved with creating smart machines skilled at tasks performing that need human intelligence. “Artificial intelligence” is the core technology. The main limitation in specifying “Artificial intelligence” is just “building machines that are intelligent”. “Artificial intelligence” is a science of interdisciplinary with various approaches. “Artificial intelligence” permits organizations to create good decisions, developing the process of core business by enhancing both the accuracy and speed of the strategic process of decision-making. “Artificial intelligence” is the trusted technology system. It contains robustness, ethics, responsibility, transparency, and fairness. The “Artificial intelligence” model becomes better when it provides information and reliable knowledge from a dataset (Li et al. 2020). Nowadays, “Artificial intelligence” is used in the whole world. Smart devices are used this “Artificial intelligence” technology system. When all program systems run in good condition in an “Artificial intelligence” system in that time it’s called trusted “Artificial intelligence”.
“Artificial intelligence” has various ethical issues that directly impact human society. “Artificial intelligence” contains surveillance and privacy. , morality, and control of “Artificial intelligence” is the ethical issues. There are various rules present in the “Artificial intelligence” technology. This “Artificial intelligence” also tries to control critical problems. The issue is that “Artificial intelligence” increasingly has to generate “split-second decisions”. Financial transactions are controlled by “Artificial intelligence” algorithms. Being unemployed is an ethical issue. This “Artificial intelligence” system is also used in the autonomous cars. It needs to respond instantly if a human runs out on the road. This also generates interesting ethical problems around control and “Artificial intelligence”. Privacy is an ethical issue in “Artificial intelligence”. Everyone tries to secure their personal information with the help of the “Artificial intelligence” systems.
Philosophical issues are vital for “Artificial intelligence”. People want to know whether “Artificial intelligence” technology is safe or not for humans. They think that machine intelligence and human intelligence are the same or not. For this “Artificial intelligence” technology, everything depends on the machines running automatically with the help of a programming system. The “philosophy of artificial intelligence” is a group of issues. The suite of issues surrounds the rationality of nature (Liang et al. 2021). Always think that the computer uses continuous modes of representing and computing. “Artificial intelligence” would not solve all kinds of issues like the human brain; sometimes errors are identified that are solved by the human. For that reason, never fully depends on “Artificial intelligence” technology.
2) What ethical perspectives might be valuable for processing this dilemma/question?
Privacy is very important in “Artificial intelligence”. Privacy for operating data has extended been an “ethical dilemma of Artificial intelligence”. The researcher needs data to control “Artificial intelligence”. Technological developments depend on the “Internet of Things” devices. Web tracking systems and Smartphone tracking systems all are “Internet of Things” devices. Many times personal information is transferred with the help of the “Artificial intelligence” system. Data protection and privacy are critical issues of “Artificial intelligence”. The hacking issue is a critical issue for the “Artificial intelligence” technology system. For “Artificial intelligence”, unemployment is increasing day by day. The automatic system controls everything with the help of “Artificial intelligence” technology (Zhang et al. 2021). Nowadays. Robots have solved all problems with minimum cost. Various techniques are used in “Artificial intelligence” to detect problems. Unemployment is a big problem in the whole world. The world economic system depends on the “Artificial intelligence” system. Every organization tries to use “Artificial intelligence” technology for increasing its market strategy. A safety system is always needed in “Artificial intelligence”. “Artificial intelligence” systems always focus on scaling and improving human expertise. The “Artificial intelligence” system also develops business strategies and solves various business problems. This is a very powerful tool. In self-driving cars, “Artificial intelligence” technology is used to make it automatic. Algorithms are used to make an intelligent car with the help of “Artificial intelligence” technology. Various sensing tools are used for safety systems. With the help of, “Artificial intelligence” systems are operated in a proper way and for the proper reasons (Bonnefon et al. 2020). “Artificial intelligence” has its own cloud system. “Artificial intelligence” has an environmental impact. With cloud computing, this “Artificial intelligence” system is running help of algorithms. It has also various structures like a power-hungry and cloud infrastructure. “Artificial intelligence” is a very fast, efficient, and powerful system that can reject human feelings defective. This is the issue of humans. “Artificial intelligence” tries to replace all jobs and try to make a smart system. “Artificial intelligence” system tries to make a technology-based environment. It’s not good for the world’s environment.
3) Who are the relevant actors and stakeholders? What are the perspectives?
Stakeholders are requested to the table to generate principles and guidelines. Governments, academics, researchers, and institutions all are the “Artificial intelligence” issues. The “Artificial intelligence” system tries to develop the internal structure of the organization. Various types of issues are present in the organization. External issues are also present in the “Artificial intelligence” system. Every organization has various guidelines that are based on “Artificial intelligence”. Product development and engineering teams are part of the stakeholders. In engineering teams, ethics are played an important role with the help of “Artificial intelligence”. These teams try to develop an “Artificial intelligence” system to get good performance (Hasija et al. 2022). “Artificial intelligence” technology is essential because it helps human capabilities, planning, reasoning, communication, etc. “Artificial intelligence” helps researcher’s research space, implement new planets, obey the earth, and reduce natural disasters. “Artificial intelligence” technology also helps to develop various types of activities for the researcher. With the help of “Artificial intelligence” systems, organizations also implement their strategy level (Siau et al. 2018). The organization is increasing its privacy level with the help of the “Artificial intelligence” system. Cloud system also depends on “Artificial intelligence” technology.
Software developers are also used “Artificial intelligence” technology. The software developers use various “Artificial intelligence” tools to schedule and plan projects, code compilation, automated testing, “decision making” power, etc. “Artificial intelligence” is part of software development. The “Artificial intelligence” system is running with the help of software programming. The automatic computer system has used “Artificial intelligence” technology. The “Artificial intelligence” system is replaced the human programmer. “Artificial intelligence” is a computer-based system. Always manual processes are needed to build an “Artificial intelligence” system to use everywhere. The working speed is very high of the “Artificial intelligence” system. “Artificial intelligence” is a system-based technology. Dataset is needed to run any kind of “Artificial intelligence” system (Sutrop et al. 2019). The software developers don’t know the complex details of the new “machine learning algorithms” of the smartest “programming language” to work on “Artificial intelligence projects”. “Artificial intelligence” never replaced the software developer. In the “Artificial intelligence” system, the self-detecting system is not developed by the developers.
Data scientists try to develop the “Artificial intelligence” system for getting good performance. Data scientists are played an essential role to get good opportunities. The “Artificial intelligence” system is used to analyze the business strategy. Data scientists are reliable for generating “high-impact data science projects”. Leader skills are important to develop “Artificial intelligence”
Software developers are the main source to develop the “Artificial intelligence” system. The “Artificial intelligence” system is mainly used to protect business strategy and business information. Software developers mainly develop a technical system to provide a good privacy level with the help of “Artificial intelligence” systems. The data collection system is part of “Artificial intelligence”. For the “Artificial intelligence” development, various developers are needed. Software engineers, data system developers, and engineers of machine learning are part of “Artificial intelligence” developers. They are mainly implementing the system of “Artificial intelligence” technology. The software developer of “Artificial intelligence” maintains the cloud system to maintain the privacy system (Schmidt et al. 2020). A coding system is also used for developing the “Artificial intelligence” system. “Artificial intelligence’s” programmers try to “develop software applications” that serve a broad variety of tasks. Various techniques are there in the “Artificial intelligence” system. These techniques are developed by the software developer with the help of a programming language. There are various difficulties are present to build an “Artificial intelligence” program. The “Artificial intelligence” system saves important data which is mainly provides privacy.
4) What are the harms/benefits? Is there disagreement?
There are various kinds of harm available for the “Artificial intelligence” system. All the harms are important for describing the system.
Social harms are very important of “Artificial intelligence”. Poverty, education, disability, and crime all are the social issue of “Artificial intelligence”. The child is mainly affected by the social harms of “Artificial intelligence”. Child abuse cases are there in the AI system. “Artificial intelligence” technology provides the priority system for improving the “quality of decision-making” system. A human cannot solve their disability with the help of the “Artificial intelligence” system. The “Artificial intelligence” system directly impacts the education system. The children are distracted from their education system for various purposes. Crime is increased with the help of the “Artificial intelligence” systems (Liao et al. 2022). “Artificial intelligence” applications are in contact of the physical with humans and decrease the safety system. The “Artificial intelligence” system provides a bad effect on humans. Humans are losing their self-control and it’s very dangerous.
“Artificial intelligence” is implementing the cost of the system. This “Artificial intelligence” technology is developing at a speed of exponential. These developments are transforming every part of human lives. All business systems are developed with the help of “Artificial intelligence” systems. The cost depends on the level of the “Artificial intelligence” algorithm. “Artificial intelligence” solutions are executed in business operations where developers are programmed to complete a particular task. The implementation cost of these technologies depends on the intelligence level (O’Keefe et al. 2020). The cost also depends on the performance of the “Artificial intelligence” system. The maximum efficiency and accuracy level of the “Artificial intelligence” predictions help to implement the cost. Cost efficiency is the part of “Artificial intelligence” system. The cost depends on the creating quality of the “Artificial intelligence” software. “cloud-driven back-end”, voice assistants, streaming tools, and cloud dashboards are the factors of the cost efficiency of the “Artificial intelligence” system.
Unemployment is a big issue. Nowadays, the whole world depends on the “Artificial intelligence” system. Everything is turned into an automatic system. The technology system provides various types of facilities, time consumption is very low, low maintenance cost, no extra headache, etc. working efficiency of the robot of “Artificial intelligence” is very high more than human workers (Kim et al. 2020). That is harmful to the environmental system. An ecosystem can be misbalance for this reason of unemployment.
“Artificial intelligence” technology tries to decrease human error. Various difficult works are done by the machines which are based on the “Artificial intelligence” system. The working condition of the machine is never down its always active. But the working condition of human has some limit. The machine doesn’t need any rest. For that reason, the working strategy of the machine is very high. The processing level of the machine is based on “Artificial intelligence” technology. The “Artificial intelligence” system has both negative and positive effects that are always important.
5) What are possible solutions/resolutions?
There are different potential solutions with which the issues of trust regarding “Artificial intelligence” can be mitigated. Some of these are discussed below. The first one is collaboration in the development of different technologies regarding “Artificial intelligence”. It basically means bringing together different entities who work in the field of “Artificial intelligence”. It is evident that all countries have different individuals or entities who work in the field of “Artificial intelligence”. Although, they are serve different purposes in their fields. These entities consist of people who can be called experts in their field. Bringing them together can help in developing more achievements in the field of “Artificial intelligence”. It is because as they are involved in different applications in the same field it is obvious that all of them will be able to contribute in a different way (Wang et al. 2021). In addition to that, in the present day, it can be seen that there are many safety breaches in “Artificial intelligence”. This is increasing with the development of more advanced technologies. Their many instances seen it can be seen that there are “cross-border cyber attacks” have been made. There is only one solution to this. It is limiting the “cross-border” transfer of data about the development of “Artificial intelligence” technology.
It is evident that all of the discussions done on the security of “Artificial intelligence” are initiated with the aim of keeping the data safe. So, it becomes most important to ensure the data is safe in the processes where the “AI technology” is being implemented (Amershi et al. 2019). It is believed that it can be achieved with the help of introducing advanced policies that can give emphasis on finding out ways with which the data of the users can be kept secure. In addition to that, it is observed in many cases there can be seen biases in the system of “Artificial intelligence”. This creates breaches in the system. As a result of that, “cyber attacks” are made on the systems. Though, it is seen that it is given less importance by different organizations. Organizations should ensure that their “Artificial intelligence” system does not possess any kind of business to mitigate “safety breaches” in the “Artificial intelligence” system (Abduljabbar et al. 2019). The most concern that people have about “Artificial intelligence” technology is maintaining the privacy of the data. These days this is one of the most important issues that need to be mitigated. Today in the era of the development of new technologies it is not possible to limit the use of “Artificial intelligence”. So, it is needed to find out possible solutions with “Artificial intelligence” that can be used in that maintain the security of the data of the users. In addition to the above instances, there is another factor that is needed to be kept in the mind is checking the source of the AI system that is used. This helps to prevent attacks from the different “AI systems” that are used to serve different purposes.
Reference list
Journals
Nath, R. and Manna, R., 2021. From posthumanism to ethics of artificial intelligence. AI & SOCIETY, pp.1-12.
Liang, T.P., Robert, L., Sarker, S., Cheung, C.M., Matt, C., Trenz, M. and Turel, O., 2021. Artificial intelligence and robots in individuals’ lives: how to align technological possibilities and ethical issues. Internet research.
Zhang, Y., Wu, M., Tian, G.Y., Zhang, G. and Lu, J., 2021. Ethics and privacy of artificial intelligence: Understandings from bibliometrics. Knowledge-Based Systems, 222, p.106994.
Bonnefon, J.F., Shariff, A. and Rahwan, I., 2020. The moral psychology of AI and the ethical opt-out problem (pp. 109-126). Oxford University Press, Oxford, UK.
Hasija, A. and Esper, T.L., 2022. In artificial intelligence (AI) we trust: A qualitative investigation of AI technology acceptance. Journal of Business Logistics.
Siau, K. and Wang, W., 2018. Building trust in artificial intelligence, machine learning, and robotics. Cutter business technology journal, 31(2), pp.47-53.
Sutrop, M., 2019. Should we trust artificial intelligence?. Trames: A Journal of the Humanities and Social Sciences, 23(4), pp.499-522.
Schmidt, P., Biessmann, F. and Teubner, T., 2020. Transparency and trust in artificial intelligence systems. Journal of Decision Systems, 29(4), pp.260-278.
Liao, Q.V. and Sundar, S.S., 2022. Designing for Responsible Trust in AI Systems: A Communication Perspective. arXiv preprint arXiv:2204.13828.
O’Keefe, C., Cihon, P., Garfinkel, B., Flynn, C., Leung, J. and Dafoe, A., 2020, February. The windfall clause: Distributing the benefits of AI for the common good. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (pp. 327-331).
Kim, J., 2020. The influence of perceived costs and perceived benefits on AI-driven interactive recommendation agent value. Journal of Global Scholars of Marketing Science, 30(3), pp.319-333.
Wang, Y., Lei, S., Dai, J. and Yuan, K., 2021. Knowledge AI: New Medical AI Solution for Medical image Diagnosis. arXiv preprint arXiv:2101.03063.
Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., Suh, J., Iqbal, S., Bennett, P.N., Inkpen, K. and Teevan, J., 2019, May. Guidelines for human-AI interaction. In Proceedings of the 2019 chi conference on human factors in computing systems (pp. 1-13).
Abduljabbar, R., Dia, H., Liyanage, S. and Bagloee, S.A., 2019. Applications of artificial intelligence in transport: An overview. Sustainability, 11(1), p.189.
Li, Y., Gu, J. and Wang, L., 2020, November. Research on artificial intelligence ethics in the field of art design. In Journal of Physics: Conference Series (Vol. 1673, No. 1, p. 012052). IOP Publishing.
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