Group of Seven (G7) leaders agreed Friday on establishing a common code of conduct for organizations engaging with artificial intelligence (AI), while striking deals on a string of joint initiatives to support the development of clean energy resources in Africa and boost the resilience of global food supply chains. In a joint communique, the bloc also agreed to build a common framework to combat illegal migration, with the aim of cracking down on human trafficking while bolstering the investigation capabilities of authorities on the African continent. In line with the agenda set by Italian Prime Minister Giorgia Meloni, the group reiterated the need to build equal partnerships with developing and emerging countries across the so-called Global South.

This week, UK prime minister Rishi Sunak is hosting a group of 100 representatives from the worlds of business and politics to discuss the potential and pitfalls of artificial intelligence. The AI Safety Summit, held at Bletchley Park, UK, begins on 1 November and aims to come up with a set of global principles with which to develop and deploy "frontier AI models" – the terminology favoured by Sunak and key figures in the AI industry for powerful models that don't yet exist, but may be built very soon. While the Bletchley Park event is the focal point, there is a wider week of fringe events being held in the UK, alongside a raft of UK government announcements on AI. Here are the latest developments. The global community has decided that the week of the UK summit is a ripe time to announce their own AI developments.

Prime Minister Fumio Kishida unveiled a plan on Monday to hold a video conference with Group of Seven leaders this autumn to formulate international guidelines and a code of conduct for developers of artificial intelligence (AI) tools. Kishida showed the plan in a speech at a special session of the U.N.-sponsored Internet Governance Forum in Kyoto. The theme of the guidelines and code of conduct is part of the Hiroshima AI Process, an initiative for international best practices regarding generative AI, according to the Japanese leader. Kishida also said that the Japanese government's new economic package, planned to be drawn up late this month, will include aid for the development of computational resources, used for processing huge volumes of data needed for AI development and use, and of basic computational models, as well as stepping up the introduction of AI in small businesses and the medical field. The Hiroshima AI Process, which was agreed on at the G7 summit held in Hiroshima in May, also calls for creating international guidelines by the end of the year that will also cover generative AI users.

America's Federal Trade Commission has warned it may crack down on companies that not only use generative AI tools to scam folks, but also those making the software in the first place, even if those applications were not created with that fraud in mind. Now the US government agency is wagging its finger at those using generative machine-learning tools to hoodwink victims into parting with their cash and suchlike as well as the people who made the code to begin with. Commercial software and cloud services, as well as open source tools, can be used to churn out fake images, text, videos, and voices on an industrial scale, which is all perfect for cheating marks. Picture adverts for stuff featuring convincing but faked endorsements by celebrities; that kind of thing is on the FTC's radar. And to be clear, there are no new rules or regulations at play here: it's just the FTC doing its usual thing of reminding people that today's tech fads are still covered by consumer protection laws, in the US at least.

OpenAI has been known for its mission to develop and promote artificial intelligence in a safe and ethical manner. However, the organization recently announced that it will no longer be open sourcing its AI code. This decision has raised concerns about the potential dangers of limiting access to AI research and development. One of the biggest dangers of not open sourcing AI code is the potential for decreased transparency and accountability. Open sourcing code allows other researchers to verify the accuracy and safety of AI models, which can lead to improvements and prevent the deployment of harmful systems. Without open sourcing, there is less transparency and accountability for the development of AI models, which could lead to unintended consequences and the deployment of unsafe AI systems.

Bishop Garrison is vice president of government affairs and public policy at Paravision. It is an iron law of progress that any innovation that benefits society also has the potential for harm. We saw it with the train and the automobile. We can already see it with genetic engineering. And now we are seeing it with artificial intelligence.

Recently I've found that Github Copilot, an AI that helping to write the code by suggesting whole snippets (often based just on natural language comments), is now available as a commercial service. No longer needing to wait for beta access, I've checked myself in for a two-month free trial. I have to say - my expectations were high. I believe it uses the same model as Copilot, so I knew it could be a mind-blowing experience. I've installed it as a Visual Studio Code extension and started to wonder how should I challenge my new virtual colleague.

AI ethics is a system of moral principles and techniques intended to inform the development and responsible use of artificial intelligence technology. As AI has become integral to products and services, organizations are starting to develop AI codes of ethics. An AI code of ethics, also called an AI value platform, is a policy statement that formally defines the role of artificial intelligence as it applies to the continued development of the human race. The purpose of an AI code of ethics is to provide stakeholders with guidance when faced with an ethical decision regarding the use of artificial intelligence. Isaac Asimov, the science fiction writer, foresaw the potential dangers of autonomous AI agents long before their development and created The Three Laws of Robotics as a means of limiting those risks.

We present a system for quickly prototyping AI code for modeling social interaction among the simulated residents of a skyscraper. The system is built on top of a commercially released indie game but replaces its character AI with a general-purpose logic programming language. These two features together simplify the more tedious parts of creating prototype AI code from scratch, enabling more effort to be focused on the meatier parts of research.

IN THE digital age, countries all around the world are racing to excel with artificial intelligent (AI) technology. The phenomenon is not a surprise considering that that AI is undeniably a powerful solution with elaborate enterprise use across industries from medical algorithms to autonomous vehicles. For a while now, the US has been dominating the global race in AI development and capabilities, but according to the Global AI Index, it seems like China will be dominating the field in the near future. As the first runner up, it is expected that China will overtake the US in about 5 to 10 years, based on the country's impressive growth records. Based on 7 key indicators such as research, infrastructure, talent, development, operating environment, commercial ventures, and government strategy – measured over the course of 12 months – it looks like China is promoting growth unlike any other.