Reliable artificial intelligence technology and the reliability of large-scale language models are the focus of attention at the 2023 World Conference on Artificial Intelligence.
There has been a joint effort by academics, researchers and government officials to seek reliable and ethically responsible artificial intelligence solutions.
LLM is one of the hottest types of AI algorithms that use deep learning tools and large data sets to understand, summarize, generate and predict new content.
At WAIC, the China Institute of Information and Communication Technology launched a large-scale language model ecosystem collaborative community bringing together more than 10 major companies such as Alibaba, Baidu, JD, and Cloudwalk.
The focus will be on key issues such as the launch of LLM’s open service platform, industry-academia and research exchanges, and mitigating potential governance risks.
WAIC’s local digital players have released their latest offerings, from image detection tools to AI content rating frameworks.
Amid growing concerns about the trustworthiness of digital content, the Ant AI security detection platform has announced a new feature that provides an Artificial Intelligence Generated Content (AIGC) assessment tool. In addition, we have also introduced “zero-knowledge proof” computing technology into our blockchain architecture so that information can be verified without leaking content.
“To build a trustworthy AI solution, data security, system traceability and accountability, network environment trustworthiness, legal ethics, and many other factors must all be considered,” commented He Jifeng. bottom.
He is a scholar of the Chinese Academy of Sciences and a director of the Shanghai Academy of Artificial Intelligence Industry and Technology.
A proposal to promote trustworthy AI capabilities and advance the research of related solutions was jointly submitted by Shanghai Institute of Artificial Intelligence, China Academy of Information and Communication Technology, Wuhan University and Ant Group.
It is also expected to raise awareness of important issues such as data governance, privacy and ethics.
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Experts share information.
Experts also shared the latest developments for evaluating a multitude of digital content as the amount of generated AI content increases.
Tang Qi, general manager of the smart intelligence unit at Shanghai-based IntSig Information, said that image tampering detection technology, which recognizes counterfeit or tampered photos, smartphone screenshots, and even bank statements, is a key player. We talked about technological progress.
Such features have become very important to protect the authenticity of online content and sensitive information, he added.
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Generated AI content is increasing.
The Trusted Data Economy Demonstration Zone was unveiled in Jing’an District on Saturday, showcasing the city’s ongoing efforts to integrate the private and public segments to strengthen the digital economy.
Ant Group senior vice president Geoff Jiang said multiple technologies, including blockchain, Internet of Things, and privacy computing, offer more valuable solutions for various industries.
Tencent has upgraded its Model-as-a-Service platform to facilitate deployment and access to LLM for a variety of scenarios covering over 50 specific industries.
Wu Yunsheng, vice president and head of Youtu AI Lab at Tencent, said, “There are still challenges in building an industry-specific LLM, such as limited computing power, poor data quality, high investment costs, and security and compliance concerns. There is,” he said.
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Tencent said its Model-as-a-Service platform makes it easy to deploy large-scale language models in various scenarios.
