Generative AI technology like ChatGPT has sparked concerns about its potential for nefarious purposes. Cyber criminals share tools to recreate malware. AI-enhanced attacks can be combated with threat intelligence sharing and good security practices.
Discover how using generative AI for training can lead to model collapse and irreversible defects, and why preserving human-generated data is crucial. Researchers offer strategies to mitigate the risks, urging the AI community to prioritize responsible use and collaboration for a more inclusive future.
OpenAI, co-founded by Elon Musk, faces scrutiny from a Japanese privacy watchdog for collecting sensitive data without consent. The regulator urged OpenAI to limit their data collection for machine learning. This aligns with the recent G7 meeting, establishing focus on high-risk generative AI technologies. As global regulations on AI compliance emerge, technologies like ChatGPT must comply with new rulebooks. Will OpenAI be able to bounce back in Italy after complying to privacy rules underlined by the Italian privacy authority?
This article looks into the promising potential of ChatGPT and Generative AI technologies, and their applications in the manufacturing sector. It also emphasizes the importance of understanding the risks and properly managing them in order to take full advantage of these advanced technologies. Read this article for a comprehensive overview of the opportunities, challenges, and strategies for successful implementation of AI in the manufacturing sector.