Artificial Intelligence in science and everyday life, its application and development prospects
pdf with cover

Keywords

Artificial Intelligence application
Rules of Artificial Intelligence
Artificial Intelligence programming
AI in business
AI in law
AI in Politics

Categories

How to Cite

Słapczyński, T. (2022) “Artificial Intelligence in science and everyday life, its application and development prospects”, Scientific Journal of Bielsko-Biala School of Finance and Law. Bielsko-Biała, PL, 26(4), pp. 78–85. doi: 10.19192/wsfip.sj4.2022.12.

Abstract

Abstract— The main purpose of the article is to determine the impact of artificial intelligence on society and industry. What role the development of this technology will play on the economy and society in the future. The question should be asked: how will artificial intelligence affect society and what will be the effects of its increasingly widespread use and whether it poses any threats. The main methods used in the article are the analysis of scientific literature, synthesis of collected facts and knowledge obtained from official data, e.g. documentation of programming languages. The main conclusions from the paper is the growing importance of AI for society and its development, which will affect into various areas of life.

 

https://doi.org/10.19192/wsfip.sj4.2022.12
pdf with cover

References

AI in Marketing, Forbes, https://www.forbes.com/sites/danielnewman/2018/02/15/how-ai-is-changing-marketing/#314c202d1257

Alpaydin, E. (2010). Introduction to machine learning (2nd ed.). Cambridge, MA: MIT Press. (p. 1)

Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016). Machine Bias. ProPublica. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. In J. M. Metzler (Ed.), The Oxford handbook of information and communication technologies (pp. 550-570). Oxford University Press.

Bredenoord, A. L., & van Delden, J. J. (2017). Artificial intelligence in healthcare: the capacity of artificial intelligence to transform clinical decision-making. Journal of Medical Ethics, 43(10), 663-666.

Brown, D. (2019). Building an AI chatbot with JavaScript. Smashing Magazine. https://www.smashingmagazine.com/2019/05/ai-chatbot-javascript/

Brownlee, J. (2021). Top 15 Python libraries for data science in 2021. Machine Learning Mastery. https://machinelearningmastery.com/python-libraries-for-machine-learning/

Buchanan, B. G., & Duda, R. O. (1983). Advances in artificial intelligence (Vol. 2). San Mateo, CA: Morgan Kaufmann. (p. 1)

Budhathoki, S., Srinivasan, S., & Purvis, R. (2021). Artificial Intelligence in Financial Services. In Handbook of Blockchain, Digital Finance, and Inclusion (pp. 1-21). Springer.

Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. In Conference on fairness, accountability and transparency (pp. 77-91). (p. 77)

Calo, R. (2015). Robotics and the Lessons of Cyberlaw. California Law Review 103, no. 3, 513-563.

Chadwick, A. (2018). The Political Implications of Artificial Intelligence. Political Quarterly, 89(2), 187–197. https://doi.org/10.1111/1467-923x.12462

Chollet, F. (2018). Deep learning with Python. Manning Publications. https://www.manning.com/books/deep-learning-with-python

Cowls, J., Taddeo, M., & Floridi, L. (2018). Ethical and Political Challenges of AI: An Introduction to the Special Issue. Philosophy & Technology, 31(4), 489–495. https://doi.org/10.1007/s13347-018-0321-1

Dabbagh, N. (2020). Artificial Intelligence in the Legal Field: Its Applications, Advantages and Disadvantages. Journal of Artificial Intelligence and Soft Computing Research, 10(2), 77-84.

Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., … & Dean, J. (2019). A guide to deep learning in healthcare. Nature medicine, 25(1), 24-29.

European Commission. (2019). Ethics guidelines for trustworthy AI.

Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). (p. 1)

Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280. (p. 254)

Géron, A. (2019). Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow (2nd ed.). O'Reilly Media.

Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning. Addison-Wesley.

Gomulkiewicz, R. (2019). Artificial Intelligence and the Future of Law. Ohio State Law Journal, 80(5), 1017-1050.

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. Cambridge, MA: MIT Press. (p. 407), https://www.deeplearningbook.org/

How Google is using AI to make money, CNBC, https://www.cnbc.com/2018/07/23/how-google-is-using-ai-to-make-money.html

Hussain, T., & Khan, M. (2017). Java for artificial intelligence: A review. Journal of Artificial Intelligence and Soft Computing Research, 7(2), 67-77.

Jain, P., & Kumar, V. (2021). Self-driving Cars: The Future of Autonomous Vehicles. In Applications of AI and Emerging Technologies (pp. 29-38). Springer.

Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255-260.

Jurafsky, D., & Martin, J. H. (2019). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (3rd ed.). Pearson. https://web.stanford.edu/~jurafsky/slp3/ed3book.pdf

Kaye, D., & Mlodinow, L. (2018). Artificial Intelligence and Human Rights. Stanford Law Review Online, 70, 33–42. https://www.stanfordlawreview.org/wp-content/uploads/sites/3/2018/05/Kaye-Mlodinow-Artificial-Intelligence-and-Human-Rights.pdf

Koedinger, K. R., & Corbett, A. T. (2006). Cognitive tutors: Technology bringing learning sciences to the classroom. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 61-78). Cambridge, UK: Cambridge University Press. (p. 61)

Kohli, L., & Ahuja, N. (2019). Artificial intelligence in healthcare: Past, present, and future. American Journal of Medicine, 132(12), 1367-1373.

Leipold, A. D. (2019). Artificial Intelligence in the Legal System: The Time Is Now. Washington and Lee Law Review 76, no. 1, 347-360.

Liu, Y., & Sundar, S. S. (2019). Should machines talk like humans? Exploring the impacts of conversational human voice in customer service chatbots. Journal of Business Research, 96, 365-378. (p. 365)

Maddix, R., & Weaver, B. (2019). Artificial intelligence and C++: A review of current techniques. Journal of Computer Science and Technology, 19(2), 89-102.

McCorduck, P. (2004). Machines who think: A personal inquiry into the history and prospects of artificial intelligence (2nd ed.). AK Peters.

Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2),

National Academies of Sciences, Engineering, and Medicine. (2019). Artificial Intelligence and Machine Learning to Accelerate Translational Research. National Academies Press (US). https://www.ncbi.nlm.nih.gov/books/NBK540225/

Nilsson, N. J. (1982). Principles of artificial intelligence. Springer-Verlag.

Pasquale, F. (2017). The Black Box Society and the Future of Algorithmic Accountability. Information, Communication & Society 20, no. 1 1-17.

Russell, S. J., & Norvig, P. (2010). Artificial intelligence: A modern approach (3rd ed.). Upper Saddle River, NJ: Prentice Hall. (p. 1)

Samuel, A. L. (1959). Some studies in machine learning using the game of checkers. IBM Journal of Research and Development, 3(3), 210-229. (p. 210)

Scharre, P. (2018a). Army of none: Autonomous weapons and the future of war. WW Norton & Company.

Scharre, P. (2018b). Autonomous weapons and operational risk. Survival, 60(5), 119-138. (p. 119)

Seymour, J., & Horvitz, E. (2019). The art of AI. Communications of the ACM, 62(3), 76-85.

Shannon, C. E. (1950). Programming a computer for playing chess. Philosophical Magazine, 41(314), 256-275. (p. 256)

Susskind, R., & Susskind, D. (2015). The future of the professions: How technology will transform the work of human experts. Oxford University Press.

Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction (2nd ed.). Cambridge, MA: MIT Press. (p. 1)

Taddeo, M., & Floridi, L. (2018). How AI can be a Force for Good. Science, 361(6404), 751–752. https://doi.org/10.1126/science.aat5991

The economic impact of artificial intelligence - Widespread job losses are just the beginning, Brookings Institution, https://www.brookings.edu/research/the-economic-impact-of-artificial-intelligence-widespread-job-losses-are-just-the-beginning/ References in Harvard style:

Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.

Wang, M. D., Khanna, R., & Najafi, N. (2019). The ethics of artificial intelligence in healthcare. The Lancet Digital Health, 1(1), e1-e3.

Wang, X., Peng, Y., Lu, L., Lu, Z., Bagheri, M., & Summers, R. M. (2016). ChestX-ray8: Hospital-scale chest X-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2097-2106). (p. 2097)

Wang, Y., Huang, X., Liu, X., & Song, X. (2020). Machine Learning in Predictive Maintenance: A Review. IEEE Access, 8, https://www.mdpi.com/2071-1050/12/19/8211

Watson, R. W., & Katsh, M. (2017). Artificial intelligence and law. Annual Review of Law and Social Science, 13, 1-21.

Wickham, H. (2016). R and data science. Journal of Computational and Graphical Statistics, 25(1), 3-4.

World Economic Forum. (2018). Shaping the future of technology governance: Artificial intelligence and machine learning. Retrieved from https://www.weforum.org/reports/shaping-the-future-of-technology-governance-artificial-intelligence-and-machine-learning

Yeh, R., Su, M., & Chen, H. (2016). Detecting financial statement fraud using data mining techniques. Journal of Intelligent Information Systems, 46(3), 401-423. (p. 401)

Zhang, Y., & Wang, Y. (2020). A review of autonomous driving: Current techniques, challenges, and future trends. IEEE Transactions on Intelligent Transportation Systems, 21(2), 690-705. (p. 690)

Python documentation for if statements, Available at: https://docs.python.org/3/tutorial/controlflow.html#if-statements.

Java documentation for if-else statements, Available at: https://docs.oracle.com/javase/tutorial/java/nutsandbolts/if.html.

C++ documentation for if-else statements, Available at: https://www.cplusplus.com/doc/tutorial/control/.

The papers published in the ASEJ Journal (alternate title: Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej) - published by the University of Applied Sciences in Bielsko-Biała, are online open access distributed (Creative Commons Attribution CC-BY-NC 4.0 license). The Publisher cannot be held liable for the graphic material supplied. The printed version is the original version of the issued Journal. Responsibility for the content rests with the authors and not upon the Scientific Journal or Bielsko-Biala School of Finance and Law.

Downloads

Download data is not yet available.