As artificial intelligence becomes a larger part of our world, it's easy to get lost in its sea of jargon. But it has never been more important to get your bearings than today. AI is poised to have a major impact on the job market in the coming years (see: Automation). Discussions over how to manage it are playing a larger part in our political conversation (see: Regulation). And some of its most crucial concepts are things that you won't have been taught in school (see: Competitive Pressure). Trying to get up to speed can be difficult. AI research is complicated, and lots of the language is new even for the researchers themselves. But there's no reason the public can't grapple with the big issues at stake, like we learned to do with climate change and the internet. To help everyone engage more fully with the AI debate, TIME has put together a handy glossary of its most common terminology. Whether you're a complete beginner or you already know your AGIs from your GPTs, this A to Z is designed to be a public resource for everyone grappling with the power, promise, and perils of artificial intelligence. AGI stands for Artificial General Intelligence--a hypothetical future technology that can perform most economically productive tasks more effectively than a human.

According to the USCO: "This initiative is in direct response to the recent striking advances in generative AI technologies and their rapidly growing use by individuals and businesses." It is also a response to requests from Congress and the public. A summary of this guidance is here. The Guide provides a convenient collection of relevant materials in one document for your convenience. We are also planning a webinar on legal issues with Generative AI, generating employee guidance on the use of AI and dealing with contractors that produce content for you.

China's Cyberspace Administration (CAC) has drafted new rules requiring AI products to undergo a security assessment before public release, focusing on adherence to "socialist values" and accuracy of content.

The hype cycle for chatbots--software that can generate convincing strings of words from a simple prompt--is in full swing. Few industries are more panicked than lawyers, who have been investing in tools to generate and process legal documents for years. After all, you might joke, what are lawyers but primitive human chatbots, generating convincing strings of words from simple prompts? For America's state and local courts, this joke is about to get a lot less funny, fast. Debt collection agencies are already flooding courts and ambushing ordinary people with thousands of low-quality, small-dollar cases.

"How do you get the model to do the thing that you want it to do, and how you make sure it's aligned with human intention and ultimately in service of humanity?" The interview was published Sunday morning, a day before Google announced its new conversational AI platform, Bard, and two days before the Bing-ChatGPT integration was officially announced to the public. Tech firms have researched AI for years, but the sudden explosion of public platforms has catapulted the technology into public awareness and ramped up the financial stakes: Microsoft's market cap has risen almost $200 billion since it announced its OpenAI investment last month. OpenAI announced on Feb. 1, 2023, that a commercial version of its chatbot, called ChatGPT Plus, would soon be available to users in the United States. Microsoft announced its ChatGPT-Bing integration less than a week later.

In a groundbreaking moment for the legal system, a court in Pakistan has utilized ChatGPT 4, an advanced language model developed by OpenAI, to decide a case. This marks the first time that an artificial intelligence system has been used in a court of law to make a decision. The case at hand involved a dispute over a contract between two parties, with the court being presented with a large volume of text, including the agreement and various communications between the parties. Additionally, the court was tasked with determining the guilt of a 13-year-old petitioner who was accused of taking the complainant's nine-year-old son to a remote location. The court referenced the queries and responses provided by the AI chatbot in its ruling, noting that the chatbot's answers were "impressive."

China on Tuesday revealed its proposed assessment measures for prospective generative artificial intelligence (AI) tools, telling companies they must submit their products before launching to the public. The Cyberspace Administration of China (CAC) proposed the measures in order to prevent discriminatory content, false information and content with the potential to harm personal privacy or intellectual property, the South China Morning Press reported. Such measures would ensure that the products do not end up suggesting regime subversion or disrupting economic or social order, according to the CAC. A number of Chinese companies, including Baidu, SenseTime and Alibaba, have recently shown of new AI models to power a number of applications from chatbots to image generators, prompting concern from officials over the impending boom in use. The CAC also stressed that the products must align with the country's core socialist values, Reuters reported.

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Taipei, Taiwan – After playing catchup to ChatGPT, China is racing to regulate the rapidly-advancing field of artificial intelligence (AI). Under draft regulations released this week, Chinese tech companies will need to register generative AI products with China's cyberspace agency and submit them to a security assessment before they can be released to the public. The regulations cover practically all aspects of generative AI, from how it is trained to how users interact with it, in an apparent bid by Beijing to control the at times unwieldy technology, the break-neck development of which has prompted warnings from tech leaders including Elon Musk and Apple co-founder Steve Wozniak. Under the rules unveiled by the Cyberspace Administration of China on Tuesday, tech companies will be responsible for the "legitimacy of the source of pre-training data" to ensure content reflects the "core value of socialism". Companies must ensure AI does not call for the "subversion of state power" or the overthrow of the ruling Chinese Communist Party (CCP), incite moves to "split the country" or "undermine national unity", produce content that is pornographic, or encourage violence, extremism, terrorism or discrimination.

Google AlphaGos win has significantly motivated and sped up machine learning (ML) research and development, which led to tremendous ML technical advances and wider adoptions in various domains (e.g., Finance, Health, Defense, and Education). These advances have resulted in numerous new concepts and technologies, which are too many for people to catch up to and even make them confused, especially for newcomers to the ML area. This paper is aimed to present a clear picture of the state-of-the-art of the existing ML technologies with a comprehensive survey. We lay out this survey by viewing ML as a MLOps (ML Operations) process, where the key concepts and activities are collected and elaborated with representative works and surveys. We hope that this paper can serve as a quick reference manual (a survey of surveys) for newcomers (e.g., researchers, practitioners) of ML to get an overview of the MLOps process, as well as a good understanding of the key technologies used in each step of the ML process, and know where to find more details.