AI Industry Advances with Funding, Regulations, and Breakthroughs

The AI industry has seen significant developments, with Aurascape receiving $50 million in funding to develop its AI-native security platform, addressing the 'shadow AI' security problem. Meanwhile, California has moved to regulate the use of AI in employment decisions, and OpenAI faces opposition to its plans to restructure as a for-profit company. Other notable advancements include the use of Web3 technology to build trust in AI, the achievement of a breakthrough in using a real quantum computer to fine-tune a large language model in China, and IBM joining the CMMI Institute's AI initiative to develop best practices for AI adoption. Additionally, Luzerne County has launched a pilot program to explore the use of AI in public services, and companies are offering various AI skills training courses to meet the increasing demand for AI expertise.

Aurascape gets $50 million funding

Aurascape, a Silicon Valley startup, has received $50 million in funding to develop its AI-native security platform. The company aims to solve the 'shadow AI' security problem by tracking interactions across thousands of AI applications. Aurascape's platform can decode prompt-response data and provide data security with minimal false alarms. The company's technology is designed to handle various data formats and provide automated policies and remediation. Aurascape's investors include Menlo Ventures, Mayfield Fund, and Intel's chief executive Lip-Bu Tan.

Aurascape brings AI security controls

Aurascape, a cybersecurity startup, has launched its AI-native security platform to automate security policies for AI applications. The platform provides visibility, risk analysis, and prompt-response decoding for thousands of AI apps. Aurascape's technology is designed to address AI security concerns, including the use of AI copilots. The company's platform can automatically monitor interactions and block unsafe actions, and it provides data security with minimal false alarms. Aurascape's investors include Menlo Ventures and Mayfield Fund.

Aurascape launches AI security platform

Aurascape has launched its AI-native security platform with $50 million in funding. The platform provides unsurpassed breadth and depth of visibility and controls for every AI interaction. Aurascape's technology is designed to enable businesses to innovate fearlessly in the age of AI. The company's platform can track interactions across thousands of AI applications and provide data security with minimal false alarms. Aurascape's investors include Menlo Ventures, Mayfield Fund, and Intel's chief executive Lip-Bu Tan.

Web3 tech builds trust in AI

Web3 technology can help build trust in AI by providing transparency and accountability. AI algorithms can be opaque, making it difficult for users to understand how decisions are made. Web3 tech can provide verifiable and auditable data, ensuring that AI systems are fair and unbiased. Companies like Space and Time are using Web3 tech to establish trust in AI. The use of blockchain and other decentralized technologies can help to create a more transparent and accountable AI ecosystem.

California regulates AI employment

California is moving to regulate the use of AI in employment decisions. The California Civil Rights Department has finalized regulations that clarify the use of AI and automated decision-making systems in employment decisions. The regulations define what constitutes an automated-decision system and provide guidance on how to ensure that these systems are fair and unbiased. The regulations also establish rules for the use of AI in hiring, promotion, and other employment decisions.

OpenAI faces opposition to restructuring

A coalition of California nonprofits and labor groups is opposing OpenAI's plans to restructure as a for-profit company. The group is concerned that the restructuring could lead to the exploitation of OpenAI's charitable assets and undermine its mission to benefit humanity. OpenAI's CEO, Sam Altman, has said that the company needs to change its business structure to raise more money and compete with other AI companies. However, the opposition group is calling on the California attorney general to investigate OpenAI's plans and ensure that its charitable assets are protected.

Choosing an AI course

With the increasing adoption of generative AI in the workplace, companies are offering various AI skills training courses. Australian workers are among the strongest adopters of generative AI, with 84% using the technology at work. When choosing an AI course, it's essential to consider the course's focus, level of difficulty, and relevance to one's career goals. Some popular AI courses cover topics such as machine learning, deep learning, and natural language processing.

Managing AI employees

As AI becomes more prevalent in the workplace, HR leaders need to navigate the challenges of managing AI employees. This includes determining what tasks to automate, building a strong governance structure, and embedding ethics into AI adoption. HR leaders should also measure both human and AI performance, promote cross-functional work, and prioritize ongoing training. By taking a thoughtful and proactive approach, HR leaders can successfully manage AI employees and create an environment where humans and machines work together harmoniously.

Chinese AI meets quantum power

Chinese researchers have achieved a breakthrough in using a real quantum computer to fine-tune a large language model. The team used China's superconducting quantum computer, Origin Wukong, to improve the performance of a language model with 1 billion parameters. The results showed an 8.4% improvement in training performance and a 76% reduction in the number of parameters. This achievement demonstrates the potential of quantum computing to enhance AI training and improve the efficiency of large language models.

IBM joins CMMI Institute's AI initiative

IBM has joined the CMMI Institute's AI Content Development Initiative as a founding sponsorship lead. The initiative aims to develop best practices for AI adoption and provide guidance on how to integrate AI into business processes. IBM will contribute its expertise and experience in AI to the initiative, which will help organizations to improve their performance and achieve better outcomes. The CMMI Institute's AI Working Group will provide research, examples, and demonstrations to support the development of AI content.

Luzerne County launches AI pilot program

Luzerne County has launched a pilot program to explore the use of artificial intelligence in public services. The program, called NextGen Luzerne County, aims to enhance the efficiency, transparency, and delivery of public services using AI. The county's first assistant solicitor, Vito DeLuca, will lead the program and work with departments to identify areas where AI and automation can reduce manual tasks and improve operational efficiencies. The program will also focus on ethical AI use and provide employees with training and support to work with AI tools.

Key Takeaways

Aurascape has received $50 million in funding to develop its AI-native security platform to address the 'shadow AI' security problem.
California has finalized regulations to clarify the use of AI and automated decision-making systems in employment decisions.
OpenAI faces opposition to its plans to restructure as a for-profit company, with concerns over the potential exploitation of its charitable assets.
Web3 technology can help build trust in AI by providing transparency and accountability.
Chinese researchers have achieved a breakthrough in using a real quantum computer to fine-tune a large language model, demonstrating the potential of quantum computing to enhance AI training.
IBM has joined the CMMI Institute's AI initiative to develop best practices for AI adoption and provide guidance on integrating AI into business processes.
Luzerne County has launched a pilot program to explore the use of AI in public services, focusing on enhancing efficiency, transparency, and delivery.
Companies are offering various AI skills training courses to meet the increasing demand for AI expertise, with topics including machine learning, deep learning, and natural language processing.
HR leaders need to navigate the challenges of managing AI employees, including determining what tasks to automate and embedding ethics into AI adoption.
The use of AI in the workplace is becoming increasingly prevalent, with Australian workers among the strongest adopters of generative AI, and 84% using the technology at work.