In this position paper, we advocate for the idea that courses and exams in the AI era have to be designed based on two factors: (1) the strengths and limitations of AI, and (2) the pedagogical educational objectives. Based on insights from the Delors report on education [1], we first address the role of education and recall the main objectives that educational institutes must strive to achieve independently of any technology. We then explore the strengths and limitations of AI, based on current advances in AI. We explain how courses and exams can be designed based on these strengths and limitations of AI, providing different examples in the IT, English, and Art domains. We show how we adopted a pedagogical approach that is inspired from the Socratic teaching method from January 2023 to May 2023. Then, we present the data analysis results of seven ChatGPT-authorized exams conducted between December 2022 and March 2023. Our exam data results show that there is no correlation between students' grades and whether or not they use ChatGPT to answer their exam questions. Finally, we present a new exam system that allows us to apply our pedagogical approach in the AI era.

Financial risk prediction plays a crucial role in the financial sector. Machine learning methods have been widely applied for automatically detecting potential risks and thus saving the cost of labor. However, the development in this field is lagging behind in recent years by the following two facts: 1) the algorithms used are somewhat outdated, especially in the context of the fast advance of generative AI and large language models (LLMs); 2) the lack of a unified and open-sourced financial benchmark has impeded the related research for years. To tackle these issues, we propose FinPT and FinBench: the former is a novel approach for financial risk prediction that conduct Profile Tuning on large pretrained foundation models, and the latter is a set of high-quality datasets on financial risks such as default, fraud, and churn. In FinPT, we fill the financial tabular data into the pre-defined instruction template, obtain natural-language customer profiles by prompting LLMs, and fine-tune large foundation models with the profile text to make predictions. We demonstrate the effectiveness of the proposed FinPT by experimenting with a range of representative strong baselines on FinBench. The analytical studies further deepen the understanding of LLMs for financial risk prediction.

Due to the cultural and governance differences of countries around the world, there currently exists a wide spectrum of AI regulation policy proposals that have created a chaos in the global AI regulatory space. Properly regulating AI technologies is extremely challenging, as it requires a delicate balance between legal restrictions and technological developments. In this article, we first present a comprehensive review of AI regulation proposals from different geographical locations and cultural backgrounds. Then, drawing from historical lessons, we develop a framework to facilitate a thorough analysis of AI regulation proposals. Finally, we perform a systematic analysis of these AI regulation proposals to understand how each proposal may fail. This study, containing historical lessons and analysis methods, aims to help governing bodies untangling the AI regulatory chaos through a divide-and-conquer manner.

OpenAI's trust and safety lead, Dave Willner, has left the position, as announced via a Linkedin post. Willner is staying on in an "advisory role" but has asked Linkedin followers to "reach out" for related opportunities. The former OpenAI project lead states that the move comes after a decision to spend more time with his family. Yes, that's what they always say, but Willner follows it up with actual details. "In the months following the launch of ChatGPT, I've found it more and more difficult to keep up my end of the bargain," he writes.

Several of the top American companies developing AI have agreed to work with the U.S. government and commit to several principles to ensure public trust in AI, the White House said Friday. Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI all signed off on the commitments to make AI safe, secure, and trustworthy. In May, the Biden administration had said that it would meet with leading AI developers to ensure that they were consistent with U.S. policy. The commitments are not binding, and there are no penalties for failing to adhere to them. The policies can't retroactively affect AI systems that have already been deployed, either -- one of the provisions says that the companies will commit to testing the AI for security vulnerabilities, both internally and externally, before releasing it.

Amazon, Google, Meta, Microsoft and other companies that are leading the development of artificial intelligence technology have agreed to meet a set of AI safeguards brokered by President Joe Biden's administration. The White House said Friday that it has secured voluntary commitments from seven U.S. companies meant to ensure their AI products are safe before they release them. Some of the commitments call for third-party oversight of the workings of commercial AI systems, though they don't detail who will audit the technology or hold the companies accountable. A surge of commercial investment in generative AI tools that can write convincingly human-like text and churn out new images and other media has brought public fascination as well as concern about their ability to trick people and spread disinformation, among other dangers. The four tech giants, along with ChatGPT-maker OpenAI and startups Anthropic and Inflection, have committed to security testing "carried out in part by independent experts" to guard against major risks, such as to biosecurity and cybersecurity, the White House said in a statement.

Top players in the development of artificial intelligence, including Amazon, Google, Meta, Microsoft and OPenAI, will announce new safeguards for the fast-moving technology at the White House on Friday. Among the guidelines brokered by the Biden administration are watermarks for AI content to make it easier to identify and third-party testing of the technology that will try to spot dangerous flaws. The White House said on Friday that it had secured voluntary commitments from seven US companies meant to ensure their AI products are safe before they release them. Joe Biden is expected to meet with the executives at 1.30pm ET and unveil a package of measures. The announcement comes as critics charge AI's breakneck expansion threatens to allow real damage to occur before laws catch up.

Fox News anchor Julie Banderas reacts to the vice president's gaffe and CNN calling Dylan Mulvaney a man on'Jesse Watters Primetime.' The Biden administration announced Friday that seven of the nation's top artificial intelligence developers have agreed to guidelines aimed at ensuring the "safe" deployment of AI. Amazon, Anthropic, Google, Inflection, Meta, Microsoft and OpenAI all agreed to the guidelines and will participate in a Friday afternoon event with President Biden to tout the voluntary agreement. "Companies that are developing these emerging technologies have a responsibility to ensure their products are safe," the White House said in a Friday morning statement. "To make the most of AI's potential, the Biden-Harris Administration is encouraging this industry to uphold the highest standards to ensure that innovation doesn't come at the expense of Americans' rights and safety."

Nicki Minaj wanted to delete the internet--and with good reason. In July, a deepfake video of her went viral on Twitter. "What in the AI shapeshifting cloning conspiracy theory is this?!?!!" she tweeted after a fan brought the clip to her attention. A Billboard-charting rapper known for her sometimes extreme outspokenness online, Minaj had not given consent to use her likeness and responded with a characteristic blend of fury and farce. "I hereby abolish the internet. Effective @ 0900 military time tomorrow morning," she continued.

Several of the signers have already publicly agreed to some similar actions to those in the White House's pledge. Before OpenAI rolled it out its GPT-4 system widely, it brought in a team of running outside professions to exercises, a process known as "redteaming." Google has already said in a blog post it is developing a watermarking, which companies and policymakers have touted as a way to address concerns that AI could supercharge misinformation.