Tines’ Post

BigTech voluntarily applying AI safe guards based on government guidelines. Well intended. Some of these are to be expected and were probably going to be the case anyway. Aren't we all focused on security? the really big one is the watermark on AI generated content. I wonder if the implementation will be truly visible to the end consumer of the content or more of a digital meta-data tag of some sort embedded in the file(s). https://lnkd.in/eUvfU_JC

More on this morning's AI Executive Order from Financial Times:

Nervous about the privacy implications of your latest generative AI pilots? In this episode, Principal Analyst Enza Iannopollo shares some insights and mistakes to avoid. https://lnkd.in/etKwJq-g

How do you find all the names in a file? 🕵️♂️ With varying data types, it's a complex challenge. 🔎 Discover how Granica Screen excels in data privacy with tailored solutions for diverse files, outshining competitors. https://bit.ly/4a67ZCx #DataPrivacy #DataManagement #AI

Privacy and power. DuckDuckGo's latest venture is a game-changer. Their new portal offers private access to AI models, reshaping how we balance innovation and privacy. The synergy between protection and performance is key. It's not just about guarding data—it's about harnessing AI's potential without compromise. Read the full article for some deep insights. What do you think about this blend of privacy and AI? Let's discuss.

In our pursuit of high-quality data for effective AI, a privacy-centric approach is fundamental for building long-term trust and securing a competitive advantage. #AIethics #dataprivacy #SustainableAI

Balancing the good and bad of AI/ML means being able to control what data you're feeding into AI systems and solving the privacy issues to securely enable generative AI. More from Netskope CEO Sanjay Beri on responsibly implementing AI.

Machine learning and generative AI systems have produced truly impressive capabilities. Unfortunately, many of these applications are not designed with the privacy of end-users in mind. TripleBlind is a platform focused on embedding privacy preserving techniques in the machine learning process to produce more user-friendly AI products. In this episode Gharib Gharibi explains how the current generation of applications can be susceptible to leaking user data and how to counteract those trends.

Global AI expert Nancy Rademaker to headline EDGE 2024 "We are transitioning to an AI-immersed society. Privacy and security are huge topics, and the need for regulatory frameworks as well as responsible and explainable AI are on the rise," Rademaker said. "There is no point of return and the coming years will be crucial in making sure AI will not be used for the bad, while keeping the capability of AI to be used for good." https://lnkd.in/gcJfGdvE #ARN #EDGE2024

Generative AI has become shiny new tool that everyone is jumping on. It has a lot of strengths and even more gaps. In healthcare, tech expertise is just half of the equation. It must be matched with clinical expertise or you might as well not build the product. Aiberry's Michael Mullarkey shares his thoughts in this CIO article. #generativeai #healthcare #healthtech