G7 should adopt ‘risk-based’ Artificial Intelligence (AI) regulation: Basics Explained

Group of Seven advanced nations should adopt “risk-based” regulation on artificial intelligence, their digital ministers agreed on Sunday, as European lawmakers hurry to introduce an AI Act to enforce rules on emerging tools such as ChatGPT.

But such regulation should also “preserve an open and enabling environment” for the development of AI technologies and be based on democratic values, G7 ministers said in a joint statement issued at the end of a two-day meeting in Japan.


The G7 is an informal grouping of seven of the world’s advanced economies, including Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States, as well as the European Union; that meets annually to coordinate global economic policy and address other transnational issues. Russia belonged to the forum from 1998 through 2014, when the bloc was known as the Group of Eight (G8), but it was suspended following its annexation of Ukraine’s Crimea region.

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. It aims to improve machine behavior in tackling complex tasks. Some of the activities computers with artificial intelligence are
designed for include:

Speech recognition

Problem solving


AI has been particularly useful in the healthcare industry because it generates massive amounts of data to train with and enables algorithms to spot patterns faster than human analysts; can be used to organize bed schedules, make a staff rotation, and provide medical information and diagnosis.

Medecision developed an algorithm that detects 8 variables in diabetes
patients to determine if hospitalization is required.

A familiar application of AI in everyday life is seen with services like
Netflix or Amazon, where in  algorithms analyze the user’s activity and
compare it with that of other users to determine which shows or products to recommend. The algorithms are becoming intelligent with time—to the extent of understanding that a user may want to buy a product as a gift and not for himself/herself, or that different family members have different watching preferences.

Financial services companies use AI-based natural language processing tools to analyze brand sentiment from social media platforms and provide actionable advice.

Fraud detection is an important application of AI in financial services. For
example, Mastercard uses Decision Intelligence technology to analyze various data points to detect fraudulent transactions, improve real-time approval accuracy, and reduce false declines.

Data security
Cyber attacks are becoming a growing reality with the move to a digital world. There are also concerns about AI programs themselves turning against systems.Automatic exploit generation (AEG) is a bot that can determine whether a software bug, which may cause security issues, is exploitable. If a vulnerability is found, the bot automatically secures it. AEG systems help develop automated signature generation algorithms that can predict the likelihood of cyberattacks.


AI algorithms can influence the manufacturing supply chain by detecting the patterns of demand for products across geographies, socioeconomic segments, and time, and predicting market demand.

Automotive industry
Tesla introduced TeslaBot, an intelligent virtual assistant allows users to
interact with their car from their phone or desktop.

Uber AI Labs is working on developing self-driven cars with the help of the
best engineers and scientists.


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