Introduction to AI, Machine Learning, and Big DataLaws and Regulations

AI, big data, and machine learning have witnessed exponential growth over the past few years. With the evolving technology, businesses realize the importance of adopting AI and big data in their operations. AI, big data, and machine learning create exciting new opportunities for companies and entrepreneurs. But this rapid adoption is also partnered with several complexities and risks, hence, comes the need for regulations.

Regulators and policymakers find it difficult to keep track of the constant developments in technology and AI systems. Regulators on the global governance level are trying to keep themselves updated with the growing number of AI developments to ensure the laws and regulations stay relevant with new challenges and inventions.

The regulations define the enhancement of the public sector policies and laws for the use and promotion of AI, big data, and machine learning technologies. The laws and regulations are mandatory to manage the associated risks with AI and big data. The primary approach of these regulations is towards the financial and technical implications of the use of AI. The focus is on the underlying AI technologies like machine learning algorithms, big data analytics, the level of data input, insights, algorithm testing, and others alike.

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