Skip to main content

Key takeaways from landmark EU AI Act

[PLACEHOLDER]
Image

 Recently, the European Parliament voted and passed the landmark EU AI Act. It's the first of its kind and sets a benchmark for future AI regulations worldwide.

The EU AI Act lays the foundation for AI governance, and it's pertinent for organizations delving into AI systems to comply with the legislation, build robust and secure AI systems, and avoid non-compliance fines. 

curly-haired-woman-looking-at-the-printed-paper
Photo by Karolina Grabowska via Pexels

My three key takeaways from the legislation are as follows:

  • The Act introduces the definition of an AI system:
    • "An AI system is a machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments"
  • The Act introduces the classification of AI systems based on risk to society. The Act outlines four risk levels:
    • Unacceptable risk: An AI system that poses an unacceptable risk must be prohibited. Examples of these systems include AI systems driving facial recognition. 
    • High risk: AI systems that pose a high risk to society must comply with a range of requirements, including testing, data training, and cybersecurity, to ensure they comply with governing EU laws. Examples of these systems include automated insurance processing using AI. 
    • Transparency risk: These include limited-risk chatbots, deep fakes, and AI-generated content that must comply with transparency requirements. 
    • Minimal risk: These include common AI systems like spam filters and recommendation engines, which pose minimal risk to society and must follow currently applicable legislation, including GDPR.
Pyramid-risk-to-society-4-risk-levels
Pyramid representing risk to society - 4 risk levels

  • Fines for non-compliance: The severity of the infringement determines the fine. It can be up to 30 M euro or 6% of the total worldwide annual turnover, whichever is higher. 

The EU AI Act lays the foundation for AI governance

Photo by Kindel Media from Pexels modified with Adobe Firefly

Reference

Artificial intelligent act
AI Act press release
AI Act

Trending posts

Apple's App Tracking Transparency sealing Meta's fate

Anonymous
If you have been following the recent news on Meta (formerly Facebook) you may have read that Meta recently projected their ad revenue will be cut by a staggering $10 billion in 2022 due to Apple’s new App Tracking Transparency feature (also known as ATT). This has resulted in Meta’s stock to plummet by over 20%. Photo by julien Tromeur on Unsplash - modified by Beolle So what is Apple’s ATT and how does it impact ad revenue? Apple has been releasing multiple privacy features for the last few years. This included Apple’s Mail Privacy Protection and Apple’s App Tracking Transparency feature. You can learn more about Apple’s Mail Privacy Protection in our earlier post by clicking here .  Apple’s App Tracking Transparency (ATT) was launched in iOS 14.5 and iPadOS 14.5 where it prompted users to select if they wanted the app to track their activities across other apps on the device. The prompt is displayed when the user opens an app like Facebook or Instagram for the first time o...
Read more

Reimagining Digital Experience Management: How Agentic AI is Transforming Adobe Experience Manager

 Adobe Experience Manager (AEM) has introduced powerful new Agentic AI capabilities designed to continuously improve and adapt digital experiences at the speed of AI. By integrating advanced AI orchestrators through Agent-to-Agent (A2A) and Model Control Protocol (MCP) tools, AEM enables brands to automate complex workflows and enforce compliance seamlessly across enterprise ecosystems. Through a suite of specialized agents, teams can transition from manual, weeks-long processes into fast, AI-assisted workflows powered by simple natural language prompts. Photo by Tunahan KALAYCI via Pexels   Here is a breakdown of the key agents driving AEM’s new Agentic capabilities, their value propositions, their guardrails, and their current availability status. 1. Brand Experience Agent. Overview. The Brand Experience Agent accelerates digital modernization through specialized sub-agents—the Experience Modernization Agent, Experience Production Agent, and Experience Development Agent. Tog...
Read more

Designing Habit Forming Mobile Application

Anonymous
Mobile Applications have become an integral part of our daily lives - we use mobile apps as alarm clocks to wake us up in the morning, to create to do lists when we start our day, to communicate with our colleagues at work via apps like Skype. We even check reviews of restaurants to visit on apps like Yelp and we seek entertainment on apps like Netflix and spotify. So what drives us to use these apps so seamlessly in our daily lives? Why we prefer some apps over others? Is there a science behind designing successful mobile apps like Facebook?  Photo by Peter C from Pexels A study in US revealed that a user between the age of 18 and 44 visits the Facebook app on average 14 times a day [1]. This shows that using the Facebook app is a daily routine for many of its users. This makes Facebook a great example of a habit forming mobile app which is designed with human psychology in mind that encourages habit forming behavior in its users .   I recently attended a seminar ...
Read more

Steer for a talent transformation strategy (and avoiding AI fatigue)

 There was a debate on whether to feature the term “AI” in the title of this article. Honestly, a key motivation for pursuing the research that led to this post was sparked by the widespread excitement about AI appearing constantly in our LinkedIn feed, to the point of feeling the fatigue, and even a bit disappointed in the algorithm of this, and the others, social media and content curated apps.  We soon discovered that there is an entire concept called "AI fatigue", not exactly how we were feeling it, but more about the mixed emotions people in the workforce have regarding the use of AI tools. Photo by Mart Production via Pexels (background updated with AI and Adobe  tech) From micro blog posts to video podcasts, lately, most of the tech content we encounter revolves around AI. They often sound or read very similar, usually mentioning the same few top providers. The articles (and social posts... at least the popular ones with paid-campaigns behind it) tend to focus less...
Read more

This blog uses cookies to improve your browsing experience. Simple analytics might be in place for pageviews purposes. They are harmless and never personally identify you.

Agreed