⚡️ UK's AI Rulebook

It’s Wednesday. The UK's Competition and Markets Authority (CMA) is leading the way with principles for "Responsible" Generative AI. What does this mean for companies working on foundational models? Let’s dive in.

Today’s Highlights:

• Google helps create AI-powered microscope for detecting cancer

• AI assistant to aid financial advisors at Morgan Stanley

• Oracle brings voice-activated AI to healthcare

DEEP DIVE

UK Competition Authority Proposes Principles for 'Responsible' Generative AI

The UK's Competition and Markets Authority (CMA) has released a preliminary report outlining seven principles aimed at guiding the responsible development and use of foundation models (FM) in generative AI.

Companies working on these models now have clear guidelines to follow:

• Accountability: “FM developers and deployers are accountable for outputs provided to consumers”

• Access: “ongoing ready access to key inputs, without unnecessary restrictions”

• Diversity: “sustained diversity of business models, including both open and closed”

• Choice: “sufficient choice for businesses so they can decide how to use FMs”

• Flexibility: “having the flexibility to switch and/or use multiple FMs according to need”

• Fair dealing: “no anti-competitive conduct including anti-competitive self-preferencing, tying or bundling”

• Transparency: “consumers and businesses are given information about the risks and limitations of FM-generated content so they can make informed choices”

The principles were formulated during an initial review including dialogues with various groups —consumer and civil society bodies, developers like Google, Meta, Microsoft, Nvidia, OpenAI, and Anthropic, foundation model users, and academics.

Despite the proactive steps being taken, the report does not call for immediate regulation but identifies potential problems that could affect the market. The CMA is keen on striking a balance between facilitating AI technology growth and addressing concerns about market power, unfair practices, and consumer protection.

Meanwhile, the US is still fine-tuning its approach—aiming to have its regulatory measures ready by year-end.

Keep reading here.

PUNCHLINES

Voice Activated: Oracle rolls out an AI-powered Clinical Digital Assistant that handles tasks ranging from note-taking to bill payments.

Write or Wrong?: Writer raises $100M in Series B funding to develop its enterprise text-generating platform.

Ultrasound Revolution: GE plans on developing an AI ultrasound to tackle pediatric and maternal mortality rates.

Banking Bots: Bank of America's CashPro gets an AI overhaul to enhance customer service.

Level Up: Levelpath raises $44.5M to launch its AI-powered procurement platform, streamlining businesses' purchasing process.

TLDR

Intel to advance Moore's Law with glass substrates: Intel reveals new glass substrate technology for advanced chip packaging in an attempt to push forward Moore's Law. Anticipated to redefine transistor scaling, glass substrates are predicted to bring about larger chip areas, better thermal stability, and increased interconnect density. Intel aims to transition to this technology by the end of the decade.

Google aids in creating AI-powered microscope for detecting cancer: The US Department of Defense is teaming up with Google for the creation of an AI-powered microscope, aimed at assisting in quicker and more efficient detection of cancer. Called the Augmented Reality Microscope (ARM), it uses computer vision algorithms to identify potentially cancerous cells, boasting 94% accuracy in early tests.

Morgan Stanley to provide AI-assistant for financial advisors: Morgan Stanley is set to deploy an AI-powered assistant to aid financial advisors and their support staff. Powered by GPT-4, the tool enhances efficiency by offering quick access to 100,000 research reports and documents. The firm is also piloting Debrief, a tool that summarizes client meetings and generates follow-up emails.

Google Updates SEO Practices for AI-Generated Content: Google has updated its SEO playbook, acknowledging AI's role in content creation. It's now less about who/what creates the content, putting the focus on high-quality content that benefits users. Repetitive, low-quality AI content could harm SEO, highlighting the importance of human involvement.

TRENDING TOOLS

🧠 MindPal: Develop custom AI agents to understand business context in seconds

👥 Parea AI: Engineering platform to create, optimize, and share LLM-powered products

🔀 Morph Beta: Experience real-time collaboration in a comprehensive AI-powered data studio

🌐 JSON data AI: Obtain JSON data on any subject depending on your prompt

🔗 Brainglue: Construct complex solutions with enhanced prompt chains

That’s all for today—if you have any questions or something interesting to share, please reply to this email. We’d love to hear from you!

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