AI News Stories

1. China Approves Over 40 AI Models As Chatbot Demand Soars

China has approved over 40 artificial intelligence (AI) models for public use in the first six months since starting an approval process for tech companies last August. The fourth batch of approvals was granted last week, with 14 more large language models (LLM) being greenlit. Companies like Xiaomi, 4Paradigm and 01 AI were among recent recipients. Beijing began requiring approvals to ensure oversight of AI development as China strives to catch up to the US. Regulators approved an initial batch of models for companies like Baidu, Alibaba and ByteDance after adopting the process. Two more batches were approved in November and December. Though an exact list is unavailable, Chinese media reported over 40 AI models have now been approved. Chinese tech giants are rushing to develop AI products following the popularity of ChatGPT in 2022. At the time, China had 40% of the world’s large language models, just behind the US. Baidu’s ChatGPT-like chatbot Ernie Bot has garnered over 100 million users. Read More.

2. FTC Wants Details on Big Tech-AI Ties

The Federal Trade Commission (FTC) has launched an inquiry into investments by big tech companies such as Amazon, Google, and Microsoft in AI startups OpenAI and Anthropic. The FTC has sent letters to these companies, requiring them to explain how these investments impact competition in generative AI. The agency aims to scrutinize corporate partnerships between cloud providers and AI firms. Google and Amazon invested in Anthropic, while Microsoft has close financial ties to OpenAI. The FTC seeks details on investment terms, influence on product releases, market share impacts, and other competitive factors. The companies have been given 45 days to respond12. Read More.

3. AI Learning to Diagnose Could Aid Doctors

Google DeepMind has proposed a new AI model called AMIE (Articulate Medical Intelligence Explorer) that could take in information from patients and provide clear explanations of medical conditions in a wellness visit consultation. The model is not designed to replace human physicians, but it could play a role in assisting both physicians and patients. The team behind AMIE fed the AI on real-world medical texts, including the transcripts of nearly 100,000 real physician-patient dialogues, 65 clinician-written summaries of intensive care unit medical notes, and thousands of medical reasoning questions taken from the United States Medical Licensing Examination. Read More.

4. Can Blockchain Help Prevent Bias in AI Training?

According to a recent report, blockchain technology could be used to prevent bias in the data that artificial intelligence models are being trained on. One of the concerns around the AI models is that the data they are trained on could contain biases or misinformation. Blockchain could be used to keep a check on the data artificial intelligence models are being trained on to avoid issues like bias. Training data can be put on the blockchain, allowing the developers of the AI system to keep track of the data that the model has been trained on to mitigate those dangers. Read More.

To Regulate or Not: The AI Policy Debate

Sit in on a conversation between Robert Hansen and Mark Savant as they discuss the role of the US government in developing and regulating AI technology. The idea is raised that the government should be actively developing AI to stay competitive with China. However, they believe the government should not heavily regulate AI as it will stifle innovation from small companies and researchers. Ideas Discussed:

• Regulations requiring transparency into AI systems may not stop unethical use, just drive it to other uncontrolled platforms.

• Some regulation could help address privacy concerns.

• Excessive regulation and transparency requirements will disadvantage small AI startups compared to large tech companies.

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