Home Technology peripherals AI Suddenly, everyone wants to talk about how to regulate artificial intelligence

Suddenly, everyone wants to talk about how to regulate artificial intelligence

May 27, 2023 pm 04:21 PM
AI Supervision talk

Recently, people’s attitudes towards artificial intelligence policy seem to have changed. For years, U.S. lawmakers and technology companies have been reluctant or even opposed to introducing strict technology regulations. Now both are asking for regulation.

Last week, OpenAI CEO Sam Altman appeared before a U.S. Senate committee to discuss the risks and potential of artificial intelligence language models. Altman and many senators have called for international standards for artificial intelligence. He called on the United States to establish an agency similar to the U.S. Food and Drug Administration to oversee artificial intelligence technology and urge its regulation.

For someone like me who is passionate about artificial intelligence policy, the Senate hearing was both encouraging and disappointing. It's heartening because the conversation seems to be moving away from empty self-restraints and toward setting regulations that might hold companies accountable. Frustratingly, this debate seems to have forgotten the last five-plus years of AI policy.

Suddenly, everyone wants to talk about how to regulate artificial intelligence Picture | Sam Altman (Source: AP PHOTO/PATRICK SEMANSKY)

I'm not the only one who feels this way. “Suggesting that Congress start from scratch just feeds into the industry’s favorite narrative that Congress is so far behind and doesn’t understand technology — how can they regulate us?” Anna, a policy fellow at George Washington University’s Institute for Data Democracy and Policy Anna Lenhart said.

In fact, in the last Congress from January 2021 to January 2023, politicians proposed a large number of legislation on artificial intelligence. Lenhardt compiled all the AI ​​regulations proposed during this time.

They cover everything from risk assessment to transparency to data protection. None of them have reached the president's desk, but given that this trendy (or to many, "scary") new generative AI tool has captured the attention of Washington, Lenhardt hopes that some of them Some will be improved and reappear in new forms. Here are some issues to pay attention to.

Suddenly, everyone wants to talk about how to regulate artificial intelligence

Algorithmic Accountability Act

The bill was introduced by Democrats in the U.S. Congress and Senate in 2022, before ChatGPT existed, to address the real harms of automated decision-making systems, such as refusing to prescribe painkillers or denying their loan applications.

Lenhardt said the bill requires companies to conduct algorithmic impact and risk assessments. It would also put the Federal Trade Commission in charge of regulating and enforcing rules on artificial intelligence and increase its staff.

Suddenly, everyone wants to talk about how to regulate artificial intelligence

US Data Privacy Protection Act

This bipartisan bill seeks to regulate how companies collect and process data. Although an approach aimed at protecting the security of women's personal health data received widespread attention in the wake of Roe v. Wade, it was not passed in time. The debate surrounding the risks of generative AI may make it even more urgent than last time. The American Data Privacy and Protection Act (ADPPA) will prohibit generative artificial intelligence companies from collecting, processing or transferring data in a discriminatory manner. It also aims to give users more control over how companies use their data.

Suddenly, everyone wants to talk about how to regulate artificial intelligence

Artificial Intelligence Organization

Altman and several senators suggested setting up a new agency to regulate artificial intelligence during the hearing. But I think that might be a red herring. Lenhardt said the U.S. government needs more technical expertise and resources to regulate the technology, whether in a new agency or a revamped existing one. Having the power to enforce the law is a key requirement for any regulator, young or experienced.

Lenhardt said: “It’s easy to create an agency and not give it any powers. Democrats have tried to push the Digital Platforms Commission Act, the Data Protection Act and the Online Privacy Act to create new protections. Most have not. The USA Act, which enjoys bipartisan support, is doomed to fail, so none of these attempts will come to fruition.

Suddenly, everyone wants to talk about how to regulate artificial intelligence

Next?

Another tech-focused agency may be on the horizon. Senators Lindsey Graham, a Republican, and Elizabeth Warren, a Democrat, are working together to create a new digital regulator that would have the power to regulate social media companies and perhaps impose Social media empowers.

Democrat Chuck Schumer is also convening the Senate to introduce a new bill to specifically address the dangers of artificial intelligence. He received bipartisan support to pass a comprehensive artificial intelligence bill aimed at establishing safeguards and promoting responsible artificial intelligence development. For example, companies may be required to allow outside experts to audit their technology before its release and provide more information about its AI systems to users and governments.

Lenhardt said that while Altman appears to have won support from the Senate Judiciary Committee, the leaders of the House and Senate Commerce Committees will need to come together to support a comprehensive approach to AI regulation before it becomes law.

Regulations need to be put in place quickly before people lose interest in generative AI. “It’s going to be tricky, but anything is possible,” Lenhardt said.

Support: Ren

Original text:

https://www.technologyreview.com/2023/05/23/1073526/suddenly-everyone-wants-to-talk-about-how-to-regulate-ai/

The above is the detailed content of Suddenly, everyone wants to talk about how to regulate artificial intelligence. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Jun 28, 2024 am 03:51 AM

This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP

Context-augmented AI coding assistant using Rag and Sem-Rag Context-augmented AI coding assistant using Rag and Sem-Rag Jun 10, 2024 am 11:08 AM

Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application

Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Jun 11, 2024 pm 03:57 PM

Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it

Seven Cool GenAI & LLM Technical Interview Questions Seven Cool GenAI & LLM Technical Interview Questions Jun 07, 2024 am 10:06 AM

To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text

To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework Jul 25, 2024 am 06:42 AM

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

Five schools of machine learning you don't know about Five schools of machine learning you don't know about Jun 05, 2024 pm 08:51 PM

Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing

SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time Jul 17, 2024 pm 06:37 PM

Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S

Laying out markets such as AI, GlobalFoundries acquires Tagore Technology's gallium nitride technology and related teams Laying out markets such as AI, GlobalFoundries acquires Tagore Technology's gallium nitride technology and related teams Jul 15, 2024 pm 12:21 PM

According to news from this website on July 5, GlobalFoundries issued a press release on July 1 this year, announcing the acquisition of Tagore Technology’s power gallium nitride (GaN) technology and intellectual property portfolio, hoping to expand its market share in automobiles and the Internet of Things. and artificial intelligence data center application areas to explore higher efficiency and better performance. As technologies such as generative AI continue to develop in the digital world, gallium nitride (GaN) has become a key solution for sustainable and efficient power management, especially in data centers. This website quoted the official announcement that during this acquisition, Tagore Technology’s engineering team will join GLOBALFOUNDRIES to further develop gallium nitride technology. G

See all articles