On the other hand, the Beijing model for AI governance is a hybrid approach treating science and technology as embedded in national laws to propel the growth of the national economy. The idea is to aggregate data for AI by encouraging the population to engage in the digital transformation. Besides initiatives like Made in China 2025, the Internet Plus Initiative, and The New Generation AI Development Plan that set AI commercialisation and marketplace goals, China has established a centralised but multistakeholder-oriented body. Like in other countries, China also regulates AI by data protection legislation.

Artificial intelligence has already created the beginning of an apocalypse of sorts. Starting from attending to customer queries and optimizing logistics to detecting fraud and conducting analysis, the ascendancy of technology in business is no joke. While the influence of artificial intelligence (AI) is already taking a questionable stand, ethical issues are emerging. In many ways, the debate over AI ethics and risk assessment is going beyond a conclusion. In the business landscape, organizations are leveraging artificial intelligence and relative technologies, like machine learning, data analytics, cloud computing and more, to create a safer workplace.

Artificial intelligence has already created the beginning of an apocalypse of sorts. Starting from attending to customer queries and optimizing logistics to detecting fraud and conducting analysis, the ascendancy of technology in business is no joke. While the influence of artificial intelligence (AI) is already taking a questionable stand, ethical issues are emerging. In many ways, the debate over AI ethics and risk assessment is going beyond a conclusion. In the business landscape, organizations are leveraging artificial intelligence and relative technologies, like machine learning, data analytics, cloud computing and more, to create a safer workplace.