We now live, work, and communicate in a whole new way thanks to the Internet and artificial intelligence (AI)

We now live, work, and communicate in a whole new way thanks to the Internet and artificial intelligence (AI). Knowing the benefits and drawbacks of incorporating the Internet and artificial intelligence into many facets of society is crucial as technology develops. The advantages and disadvantages of this integration will be covered in detail in this article, with a special emphasis on how it will affect business, commerce, and other sectors.
In several industries, efficiency and production have dramatically increased as a result of AI and the Internet's integration. Businesses may now make data-driven choices more quickly and precisely than ever before thanks to AI-powered algorithms, which can, for instance, evaluate enormous volumes of data at incredible rates (Manyika et al., 2017). According to Bostrom and Yudkowsky (2014), AI may be utilized in government to automate repetitive jobs, freeing up human resources for more difficult and imaginative work.
Additionally, the Internet and AI have increased the amount of convenience and personalisation in our lives. Based on unique interests and behaviors, AI-driven recommendation systems may offer personalised recommendations (Ng, 2018). AI chatbots in business may provide 24/7 individualized customer care, boosting client happiness and cutting wait times
Healthcare and medical research have been significantly impacted by AI and the Internet. Medical professionals may be able to save lives and save money by using AI-powered diagnosis and treatment planning systems (Esteva et al., 2017). Additionally, AI-driven drug discovery has the potential to speed up the creation of novel drugs and result in advancements in the treatment of a variety of ailments (Chen et al., 2018).
Due to the availability of a variety of educational resources online, AI and the Internet have also revolutionized the way we study. Platforms for adaptive learning powered by AI can tailor lessons for specific individuals, enhancing learning results (Pane et al., 2017). AI can also assist in identifying at-risk pupils and delivering tailored treatments to close the achievement gap (Xue et al., 2018).
Even while the Internet and AI have improved production and efficiency, there are worries that some jobs may be lost as a result. As AI develops, it could perform some activities better than humans, which will raise economic inequality and the unemployment rate (Arntz et al., 2016). The gap between the "haves" and the "have nots" may also increase as employment become more specialized and need for advanced abilities (Acemoglu & Restrepo, 2018).
Increased privacy and security issues have also been brought on by the Internet's and AI's fast development. The danger of data breaches and identity theft increases as more private and sensitive data is gathered and maintained online (Romanou, 2018). Additionally, ethical concerns regarding privacy rights and the possible abuse of such tools by governments and businesses have been brought up by the use of AI in surveillance and face recognition technology (Harwell, 2019).
A digital divide still exists between those who have access to these technologies and those who do not, despite the many advantages of the Internet and AI. This gap widens already existing disparities since poor areas frequently lack access to opportunities and necessary services made possible by the internet and artificial intelligence (Hilbert, 2016). In order to guarantee that the advantages of modern technologies are distributed fairly, the digital gap must be closed.
Numerous ethical and societal problems have been highlighted by the Internet's and AI's fast growth. For instance, poorly built AI-driven decision-making systems may reinforce current prejudices and discrimination (Barocas & Selbst, 2016). Additionally, as people increasingly communicate with machines rather than one another, the widespread use of AI and automation might result in a loss of human connection (Turkle, 2017).

In conclusion, society has been affected in a variety of ways, both positively and negatively, by the integration and growth of the Internet and AI. Even though they have increased convenience, personalisation, efficiency, and production, they have also resulted in job displacement, inequality, and privacy and security issues. It is critical to find a balance between welcoming innovation and addressing the possible hazards and issues it presents as AI and the Internet continue to progress.

AI and the Internet have been developed together, and this has had both beneficial and harmful consequences on society. The digital gap, employment displacement, and ethical issues have all resulted from them even if they have enhanced healthcare, medical research, education, and learning. To guarantee a more egalitarian and sustainable future, it is essential to address these technologies' dangers and problems as we continue to embrace their potential.

Barocas, S., & Selbst, A. D. (2016). Big data's disparate impact. California Law Review. Retrieved from https://www.californialawreview.org/wp-content/uploads/2016/06/2Barocas-Selbst.pdf

Chen, H., Engkvist, O., Wang, Y., Olivecrona, M., & Blaschke, T. (2018). The rise of deep learning in drug discovery. Drug Discovery Today. Retrieved from https://pubmed.ncbi.nlm.nih.gov/29366762/

Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Retrieved from https://pubmed.ncbi.nlm.nih.gov/28117445/

Hilbert, M. (2016). The bad news is that the digital access divide is here to stay: Domestically installed bandwidths among 172 countries for 1986–2014. Telecommunications Policy. Retrieved from https://www.researchgate.net/publication/295396245_The_bad_news_is_that_the_digital_access_divide_is_here_to_stay_Domestically_installed_bandwidths_among_172_countries_for_1986-2014
Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2017). Informing progress: Insights on personalized learning implementation and effects. RAND Corporation. Retrieved from
https://www.rand.org/pubs/research_reports/RR2042.html