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OpenAI 🤝 U.S. Defense Department
PLUS: New AI system aims to predict pancreatic cancer risk earlier to improve detection.
Welcome! Today we’re covering:
Governance: OpenAI Opens Door For Military Uses But Upholds AI Weapons Ban
Ethics: Ex-AI Exec Starts Nonprofit To Certify Ethical AI Training Data
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News & Insights
OpenAI Opens The Door For Military Uses But Maintains AI Weapons Ban
OpenAI's recent policy shift, a nuanced recalibration rather than a sweeping change, strikes a delicate balance between technological advancement and ethical responsibility. The company's collaboration with the U.S. Defense Department, focusing on cybersecurity and veteran suicide prevention, showcases a commitment to harness AI for societal benefit while staunchly opposing its use in weaponry development. "We want to see in the world," says Anna Makanju, OpenAI's VP of Global Affairs, signaling a clear vision for AI's role in driving positive outcomes.
While OpenAI has eased restrictions on military uses, its firm stance against AI's weaponization remains intact. This careful distinction in their usage policies reflects a broader industry trend towards responsible AI deployment. By allowing their technology's application in specific, non-harmful military contexts, OpenAI navigates the complex terrain of ethical AI usage, upholding a ban on causing harm or property damage as a cornerstone of its ethos. arstechnica
An AI Executive Turns AI Crusader To Stand Up For Artists
Ed Newton-Rex, former TikTok AI head and Stability AI executive, has pivoted to an ethical AI advocate with his new nonprofit, Fairly Trained. His initiative is pioneering a certification system for AI companies, ensuring their training data is responsibly sourced. Recognizing the ethical dilemma in generative AI, Newton-Rex's certification, akin to fair trade labels, demands data to be licensed, public domain, or company-owned. Nine companies have already been certified, showcasing a commitment to ethical AI development practices.
Fairly Trained's approach has gained traction, with industry support and comparison to other authenticity initiatives. Despite its infancy and small scale, this movement seeks to challenge the status quo of data scraping. It's not a panacea for all ethical issues, but Newton-Rex envisions future certificates addressing broader concerns, like creator compensation and consent contours. wired
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Can Recraft’s Foundational Model For Graphic Design Swerve The AI Controversy?
Amidst the ongoing debate on AI's impact on creative industries, Recraft emerges with a fresh approach to generative design, securing a $12 million Series A funding. With a user base surpassing 300,000 in just eight months, Recraft distinguishes itself by offering a foundational model that churns out design elements with remarkable consistency. Vector image generation and style customization cater to the professional market's demand for brand-aligned visuals. Anna Veronika Dorogush, Recraft's founder, emphasizes the platform's unique balance of creative freedom and brand fidelity, ensuring that generated images resonate with a company's visual identity.
The AI-driven design landscape is evolving, yet Recraft's commitment to professional-grade output sets it apart. The startup's approach to user-provided styles circumvents the contentious issue of training models on artists' work, a nod towards intellectual property respect in the generative AI realm. Investors like Khosla Ventures recognize Recraft's potential to revolutionize design workflows for professionals—heralding a new era of AI-assisted creativity without sacrificing control or quality. techcrunch
Around The World
Google DeepMind Develops Advanced AI Capable of Tackling Intricate Geometry Challenges, Revolutionizing the Field of Mathematical Problem-Solving.
Microsoft Expands Its Generative AI Portfolio with the Launch of Copilot Pro for Individual Users.
OpenAI Faces Legal Battle Over ChatGPT's Alleged Libelous Content After Court Dismisses Request to Dismiss Suit.
You are utilising a well-funded and functional health system.
I am circumnavigating NHS wait times and OpenAI content policies by analysing my blood work in an unreleased episode of House.
We are not the same.
— James (@mulholo)
Jan 17, 2024
A New AI-Based Risk Prediction System Could Help Catch Deadly Pancreatic Cancer Cases Earlier
An MIT-led team has engineered a new AI, PRISM, that gives hope for earlier detection of pancreatic cancer. PRISM processes patient data, like age and medical history, to calculate a risk score and has shown to identify high-risk individuals 6-18 months before diagnosis. This outpaces current screening methods significantly, which typically spot only about 10% of cases.
The system's robustness comes from the extensive data pool, sourced from 55 U.S. healthcare organizations, ensuring its predictive accuracy isn't confined to a single hospital’s patient profile. While the study's retrospective nature presents limitations, ongoing prospective research aims to validate PRISM's real-world efficacy. With early detection critical, PRISM's potential for clinical application in screening protocols could be a game-changer. technologyreview
Written by Isaac R. Ward, Casey Clifton, and Alex Brogan.
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