Copyright Chaos, AI Safety & CellBot Healthcare Hackathon

Copyright Chaos: AI Giants Face Legal Showdown

| Written by Nidhi Singh - Business Development Consultant @CellStrat

Lately, it feels like every other headline is about Generative AI. This tech uses machine learning to churn out fresh content—whether it’s text, images, or videos. It’s exciting because it could make content creation faster and cheaper. But it’s also stirring up big questions, like:

• Impact on Human Creativity ??: Will AI-generated content take away from the value of human-created works?
• Legal Ownership ??: Who owns AI-generated work? The person who gives the instructions or the creators of the original content used to train the AI?

?? Recent Industry Buzz:

• The Authors Guild, backed by over 8,500 writers, including big names like Margaret Atwood, Dan Brown, and Jodi Picoult, is pushing back. They’re demanding that tech companies using AI tools like ChatGPT and Bard stop taking their works without permission or payment.
• These authors argue that scraping their work to train AI is like serving an endless buffet without ever paying the bill.

Read the full article here.

CellBot Healthcare Jam: Hackathon 2024

Join us to develop cutting-edge GenAI and AI products in healthcare and pharmaceuticals!

We invite developers, healthcare, and biosciences professionals and students to our Healthcare Hackathon on September 28, 2024, at WeWork Bellandur, Bengaluru.

Prizes: Cash prizes of INR 20,000! Top teams will also get AI Product Internships with CellBot AI.

*Registered participants will receive problem statements via email.

**Wifi provided.

Register here.

For more details, visit: https://bit.ly/cellbothackathon

AI Safety: The Good, the Bad, & the?Risky

| Written by Keshav Kumar

The rapid evolution of artificial intelligence (AI) over the past decade has brought incredible advancements, powered by breakthroughs in architectures like transformers and the immense computational abilities of GPUs and TPUs. While we haven’t yet reached Artificial General Intelligence (AGI)—a system capable of human-like cognitive tasks across domains—current AI technologies are edging closer to human-level machine intelligence (HLMI) in specific areas, raising urgent questions about AI safety and its long-term societal impact.

At the heart of these concerns is the alignment problem: will AI systems truly learn what they are intended to, or could they develop unintended goals or behaviours, leading to catastrophic outcomes? Another concern is who has access to such advanced technologies and what is their usage intent.

The field of AI safety encompasses the formal study of such concerns, concepts, their implications on society, and mitigation strategies under various subdomains like Mechanistic interpretability, Model alignment, Model evaluation, and Cooperative AI, each studying and managing different facets of safety risks.

To understand AI risks, Robert Miles, a science communicator focusing on AI safety and alignment, has proposed a framework categorizing risks into four quadrants: Accident Risks and Misuse Risks, each with short-term and long-term implications.

Accident risks refer to unintended flaws or misbehaviors in AI systems that cause harm due to errors or misalignments in how these systems operate.

Read full article here.

Upcoming Webinars & Events

CS Prompt Engg Course Class 7 - Graph of Thought Prompting Saturday, September 21, 2024 | 9:30 AM?to 11:30 AM?IST

CellBot Unplugged - Generative AI revolution in Health and Pharma Saturday, September 21, 2024 | 2:00 PM?to 3:30 PM?IST

Generative AI in Automobiles

Sunday, September 22, 2024 | 2:00 PM?to 3:30 PM?IST

CellBot Healthcare Jam - A Gen AI Revolution in Health and Pharma (Hackathon)

Saturday, September 28, 2024 | 9:30 AM?to 5:30 PM?IST

Check out www.imagineview.ai – a platform with Generative AI tools that are already helping pros like you. Give it a try today!

Got questions or comments? We’d love to hear from you! Shoot us an email at [email protected]

Happy knowledge mining to you!