EU Healthcare Adapts to AI
PLUS: How executives are taking a three dimensional approach to generative AI.
Good morning. Today is Friday, October 27th, and we’re covering how AI amplifies cyber-threats, the EU’s new digital reforms in healthcare, and executives taking a three dimensional approach to generative AI. New to The Intelligence Age? Sign up here.
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News & Insights
AI's role in cyber-threat amplification is a pressing concern**, states a recent UK government report. By 2025, generative AI, the tech behind popular chatbots and image generators, could assist in planning physical attacks, including chemical and biological terrorism. Despite ongoing efforts to counteract this, the effectiveness of safeguards remains inconsistent. Moreover, AI is predicted to enable "faster-paced, more effective and larger scale" cyber-attacks, potentially breaking down barriers that currently hinder the assembly of knowledge, raw materials, and equipment for these attacks.
Joseph Jarnecki, a cyber threat researcher at the Royal United Services Institute, highlights **AI's potential to help hackers mimic official language**, a challenge they've historically struggled with. Future government discussions will focus on the regulation of "Frontier AI", advanced systems that could exceed the capabilities of today's models. While some experts perceive the threat to humanity as remote, the consensus on when specific capabilities could emerge is still elusive. bbc
Why does this matter?
Considering AI's potential in amplifying cyber threats, it might be worthwhile to explore how AI can also be leveraged to fortify cybersecurity. The same technology that enables the creation of more sophisticated threats could also be the key to developing more robust defenses.
An 'Unprecedented Time': Inside The Three-Dimensional Approach Corporate Executives Are Taking To Generative AI
Employee experience optimization, new product development, and organizational operating models** - these are the three crucial dimensions corporate executives are exploring with generative AI. Archana Vemulapalli, Head of Product and Global Strategy for Data and AI at AWS, emphasizes the need for a solid data foundation to support these initiatives. As she rightly puts it, "Data is the foundation. And when you build on a shaky foundation, it isn't going to last."
Vemulapalli detailed how AWS aids businesses in managing the diverse data requirements for powering generative AI. The conversation touched on the importance of having the correct tools to handle the job effectively, a point that cannot be overstressed in this era of AI-driven insights. zdnet
What EU Digital Reforms Mean For Healthcare Deep Tech
EU digital reforms are redefining healthcare deep tech, with significant impacts on data protection, AI systems, and health data accessibility.
The Data Act, Data Governance Act and Health Data Space Regulation are strengthening patients' data portability and imposing stricter obligations on public sector bodies for data sharing. Opportunities arise as organisations gain access to vast quantities of anonymised healthcare data for research and service delivery. But, this comes with challenges of ensuring compliance with new e-privacy rules across all electronic communications.
High-risk AI systems are under stringent scrutiny.** Organisations must establish and maintain a risk management system for their AI, ensuring the training, validation and testing datasets meet strict quality criteria. This legislation enforces representativeness across population groups, as in triaging patients presenting with specific symptoms. The proposed Health Data Space Regulation empowers EU patients to access their health data freely, fostering innovation while also creating a tension between transparency and intellectual property rights. siliconrepublic
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Here's another trained model that has blown my mind. 🤯
A Toy Story model that is so good, I can't stop generating stuff.
I am confident my algorithm can surpass MidJourney on certain things, especially texture, lighting and styling.
— Pietro Schirano (@skirano)
Oct 26, 2023
Format5: Abstention And Examples For Conditional Table Formatting With Natural Language
Mukul Singh et al.
∑ Summary: FormaT5, a transformer-based model, generates data-dependent conditional formatting rules for tables in spreadsheets based on a natural language description, overcoming challenges of under-specification and ambiguity by predicting placeholders and outperforming eight other neural approaches in benchmarks.
!? Practical implications: The development of FormaT5 could lead to more user-friendly spreadsheet software, potentially increasing productivity in industries that heavily rely on data analysis and visualization, such as finance, marketing, and research.
Written by Isaac R. Ward, Casey Clifton, and Alex Brogan.
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