There is an urgent need to come up with Artificial Intelligence legal frameworks, in order to deal with the ticklish legal and policy challenges thrown up by the rapid adoption of and reliance on Artificial Intelligence.
We require a legal framework/system that ensures we harness the opportunities that AI is creating — across all and various areas including transportation, safety, medicine, labor, criminal justice and national security, all the while vigorously confronting ethical challenges including the potential for social bias, the need for transparency, and missteps that could stall AI innovation while exacerbating social problems and accelerating social and economic inequality. 
Some people praise the ability of machines to translate any language and master any game. Others condemn the use of secret algorithms to take various policy decisions which may have an effect on other individuals or recoil at the prospect of machines gunning for blue, pink, and white-collar jobs. Some worry aloud that artificial intelligence (“AI”) will be humankind’s “final invention”.
There has always been a wide gap present between the introduction of new technologies, and the legislation which regulates such technological developments. Artificial Intelligence as a concept has been existent for over 50 years, ever since the ‘Dartmouth Conference, and the introduction of a program called the ‘Logical Theorist’ served as the first instance of AI. However, the materialization of the concept into applications was scarce back then. Nowadays AI can be found everywhere. AI no longer remains a concept, it is now deemed to be a system’s ability. The concept of AI now has a huge bearing on an individual’s life. Therefore laws are required to mitigate its functioning to ensure that there is no adverse effect on the rights of individuals.
legal effect of introducing AI into the provision of tax advice, automated
trading on the stock market, or generating medical diagnoses will also vary in
accordance to the regulators that govern these contexts and the rules that
apply within them. Many other examples of AI applications fall within current
non-technology-specific policy, including predictive policing,
non-discriminatory loans, healthcare applications such as eldercare and drug delivery,
systems designed to interact with children (for example, autonomous tutoring
systems are required to respect laws in regard to balanced handling of
evolution vs. intelligent design), and interactive entertainment.”
Supra, Spencer, M. (2019). Artificial Intelligence Regulation May Be Impossible.
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Ford, M., 2015. Rise of the Robots: Technology and the Threat of a Jobless Future. Basic Books.
Barrat, J., 2013. Our final invention: Artificial intelligence and the end of the human era. Macmillan.
 Supra, Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G., Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Kraus, S. and Leyton-Brown, K., 2016