EU AI Act – To prevent the birth of Skynet
MEETUP
Emely Svedberg Possfelt - Legal Advisor at Setterwalls, Maximilian Gustafsson - CTO at Queenslab,
Malin Frithiofsson - CEO, WIT Venture Studio
07.45, 29th of March
Queenslabs Office, Västra Hamngatan 11, Gothenburg
This is the word we want to spread
Here we go again... Another new law that we need to comply to, only this time it is about AI! The new European AI law, is a proposed set of regulations aimed at creating a common legal framework for AI across the European Union (EU).
Attend to this meetup to get key insights regarding:
- The new law: Listen in to Setterwalls experts on this topic - What does this new law mean for you? What traps to avoid?
- "Black box": What is this phenomenon? How does this effect your business?
- Queenslab + AI: We showcase cool stuff we have done with AI and Black boxing!
OUR RELATED SERVICES
At QueensLab, our AI team is ready to innovate your business and elevate it to the next level. Although we have identified a great number of areas where we AI can be adopted and applied to business, the following three services have specific relation to competence we have gained and the frameworks and tools that we have been developing lately...
The method of maintaining machines and equipment by predicting when they might break down or need repairs, based on data and analytics.
Instead of waiting for a machine to fail and then fixing it, predictive maintenance uses sensors, software, and other tools to monitor the machine's performance and detect any potential issues before they become serious problems. This allows maintenance crews to fix the problem before it causes downtime or costly repairs.
Overall, predictive maintenance helps companies save money by reducing unplanned downtime, minimizing repair costs, and extending the lifespan of their equipment.
ChatGPT is a large language model that uses machine learning to generate responses to text-based inputs. By using a context to produce better results, ChatGPT can use the surrounding words and phrases to better understand what the user is asking and generate a more accurate and relevant response.
Few shot learning is a type of machine learning that allows models to learn from just a few examples, rather than requiring a large dataset. In other words, the model is trained to recognise and classify new examples based on just a few pieces of information, rather than needing to see many examples of each category.
QueensLab has built a serious of frameworks and tools around ChatGPT and "few shot learning" that can benefit your business with a custom context.
Our AI tools and frameworks can be used in a context to do marketing automation by creating personalized and engaging interactions with customers, using natural language processing and machine learning.
For example, we can integrate chatbots or messaging platforms on your company's website or social media channels, allowing customers to ask questions, get product recommendations, and receive support in real-time.
By analyzing the customer's messages and responses, our tools and frameworks can determine what the customer is looking for and provide relevant information or offers.