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The Aesthetics of AI: from cyberpunk to fascism
2025-11-15 · 09:00
Laura Summers
– Founder
@ Debias AI
Prep material referencing Laura Summers' April 2025 talk on AI aesthetics. |
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The (ancient) art of conversation - styling beyond the GUI
2025-11-15 · 09:00
Optional extras: talk on rhetoric and conversational interfaces. |
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FLINTA Talk Night: Towards More Responsible AI
2025-03-19 · 18:00
Due to the BVG strike, we will start the event later at 19:00. Please don't worry about being late and join us if you can! You’ve probably heard a lot about AI—how it’s changing industries, making decisions, and even shaping our daily lives. But did you know that AI can also be biased? Join us for two insightfult talks about bias in AI and tools like Sweet Summer Child Score that can help mitigate the harm. **IMPORTANT** Please sign-up via Luma on Ape Unit's event page: https://lu.ma/e636qkuc?utm_source=eit ✍️ Event description This meetup is hosted by Empowered in Tech together with Ape Unit. Our goal for this event is to make the topic of bias in AI more accessible to everyone—regardless of background or expertise. We’ll explore what AI bias is, the real-world impact it has, and what we can do to reduce its harm. You don’t need to be an expert or work in tech—all perspectives are welcome! Talk: Sweet Summer Child Score Sweet Summer Child Score is an open-source library to identify potential AI harms. A truism in tech is that we're good at asking "can we do it", but not "should we do it". Attempting to tackle the latter, this library offers a system scan to quickly identify potential harms, and build the capability of relative risk assessment. SSCS does not explore the specifics of your stack or technical implementation -- instead it takes a step back to look at the ecosystem your technology will be deployed in, and the implementation choices which define the seam between your system and the broader world. Put simply, this is an attempt to see the forest, not the trees. Links: The project and GitHub repos are online at https://summerchild.dev [SECOND TALK CANCELLED: Talk: Exploring fairlearn and practical strategies for assessing and mitigating harm in AI systems As AI becomes a more significant part of our everyday lives, ensuring these systems are fair is more important than ever. In this session, we’ll discuss how to define fairness and the potential harms our algorithms can have on people and society. We’ll introduce fairlearn, a community-driven, open-source project that offers practical tools for assessing and mitigating harm in AI systems. We’ll also explore how to discuss bias, different types of harm, the idea of group fairness and how they all relate to fairlearn’s toolkit. To make it all concrete, we’ll walk through a real-world example of assessing fairness and share some hands-on strategies you can use to mitigate harm in your own ML projects. Links*:* - website: https://fairlearn.org/ - repository: https://github.com/fairlearn/fairlearn - LinkedIn: https://www.linkedin.com/company/fairlearn/] 🏢 Location We are kindly hosted by Ape Unit. 📝 Sign Up This time the sign-up is handled by our host Ape Unit via Luma: https://lu.ma/e636qkuc?utm_source=eit ⏰ Agenda 18:30 Doors open, we'll mingle and have some snacks 18:45 Intro and welcome from your hosts 19:00 Talk by Laura: Sweet Summer Child Score (+ Q&A) 19:45 Time for Networking 21: 15 Doors close 🗣 Speaker Laura Summers Laura is a very technical designer™️, working at Pydantic as Lead Design Engineer. Her side projects include Sweet Summer Child Score (summerchild.dev) and Ethics Litmus Tests (ethical-litmus.site). Laura is passionate about feminism, digital rights and designing for privacy. She speaks, writes and runs workshops at the intersection of design and technology. 👋 About Us Stay in touch with the community! Join our Slack: https://bit.ly/EmpoweredInTechSlack We are a local community in Berlin dedicated to empowering FLINTA (women, lesbians, intersex, non-binary, trans and agender) people to excel in their tech journey. Our events offer study groups, technical workshops, hackathons, networking events, panel discussions, lightning talks, and social events. ☂️ About the FLINTA label This event is labeled as FLINTA (women, lesbians, intersex, non-binary, trans and agender) as we make it a mission to empower women and other underrepresented minorities in the tech community. That being said, we don't exclude anybody! Cis men are welcome to join 😊, just bear in mind that the topics will be discussed from this perspective. 💗 Code of Conduct We are dedicated to providing a safe and welcoming experience for everyone who participates in our events. Our events aim to empower diverse women and we welcome everyone who identifies as a woman or another underrepresented group in tech or an ally. We follow the Berlin Code of Conduct for our events: https://berlincodeofconduct.org/ 📸 Media Consent We may be taking photos of this event for social media posts. If you do not want to be photographed, please let the organizers at the event know. We will make sure to respect your privacy. |
FLINTA Talk Night: Towards More Responsible AI
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PyData Berlin 2024 August Meetup
2024-08-14 · 16:00
Welcome to the PyData Berlin August meetup! Please provide your first and last name, current role and organization name for the registration because this is required for the venue's entry policy. If you cannot attend, please cancel your spot so others are able to join as the space is limited. Host: Google Cloud is excited to welcome you for this month's version of PyData. Agenda:
************************************************************************** The Lineup for the evening Talk 1: Multi-agent Systems with Mistral AI, Milvus and Llama-agents Abstract: Agentic systems are on the rise, helping developers create intelligent, autonomous systems. LLMs are becoming more and more capable of following diverse sets of instructions, making them ideal for managing these agents. This advancement opens up numerous possibilities for handling complex tasks with minimal human intervention in so many areas. In this talk, we will see how to build agents using llama-agents. We’ll also explore how combining different LLMs can enable various actions. For simpler tasks, we'll use Mistral Nemo, a smaller and more cost-effective model, and Mistral Large for orchestrating different agents. Speaker: Stephen Batifol Stephen is a Developer Advocate at Zilliz. He previously worked as a Machine Learning Engineer at Wolt, where he created and worked on the ML Platform, and previously as a Data Scientist at Brevo. Stephen studied Computer Science and Artificial Intelligence. He is a founding member of the MLOps.community Berlin group, where he organizes Meetups and hackathons. He enjoys boxing and surfing. Talk 2: Bayes by Hand Abstract: Discover how powerful Bayesian modelling can be with a pen and paper, or even in your head! Or - Bayes, the good bits! The focus is on Bayes as a thinking tool, rather than on code and algorithms. Think eliciting and updating priors, updating estimates rigorously with incoming data, etc. This approach reacts to the need for more disciplined estimation in business contexts, while wanting to include non-stats and non-dev stakeholders in the process. Bayes By Hand can be used for sketching out baselines, cross-disciplinary collaborations, improved decision making, and more. Let's get back to the blackboard my friends, and do some modelling by hand! Speaker: Laura Summers Laura is a very technical designer™️. She's the founder of Debias AI, (debias.ai) and the human behind Sweet Summer Child Score (summerchild.dev), Ethics Litmus Tests (ethical-litmus.site), fairXiv (fairxiv.org), the Melbourne Fair ML reading group (groups.io/g/fair-ml). Laura is passionate about feminism, digital rights and designing for privacy. She speaks, writes and runs workshops at the intersection of design and technology. Lightning talks There will be slots for 2-3 Lightning Talks (3-5 Minutes for each). Kindly let us know if you would like to present something at the start of the meetup :) *** NumFOCUS Code of Conduct THE SHORT VERSION Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for NumFOCUS. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery are not appropriate. NumFOCUS is dedicated to providing a harassment-free community for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of community members in any form. Thank you for helping make this a welcoming, friendly community for all. If you haven't yet, please read the detailed version here: https://numfocus.org/code-of-conduct *** |
PyData Berlin 2024 August Meetup
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Generators in Python
2024-06-24 · 20:00
This talk will cover the essential concepts, use cases, and best practices for implementing generators (and iterators) in Python. We'll delve into how these powerful tools can enhance your coding efficiency, manage memory more effectively, and handle large data sets gracefully. |
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Sweet Summer Child Score
2024-06-24 · 19:20
Laura Summers
– Founder
@ Debias AI
Sweet Summer Child Score is an open source library to identify potential AI harms. A truism in tech is that we're good at asking 'can' we do it but not 'should' we do it. This library offers a system scan to quickly identify potential harms, and build the capability of relative risk assessment. SSCS does not explore the specifics of your stack or technical implementation -- instead it takes a step back to look at the ecosystem your technology will be deployed in, and the implementation choices which define the seam between your system and the broader world. |
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Retrieval-Augmented Generation
2024-06-11 · 20:00
Fateme Kamali
– Data Scientist
@ DHL Data & Analytics team
Overview of Retrieval-Augmented Generation. |
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Sweet Summer Child Score
2024-06-11 · 19:20
Laura Summers
– Founder
@ Debias AI
Sweet Summer Child Score is an open-source library to identify potential AI harms. A truism in tech is that we're good at asking can we do it, but not should we do it. Attempting to tackle the latter, this library offers a system scan to quickly identify potential harms, and build the capability of relative risk assessment. SSCS does not explore the specifics of your stack or technical implementation -- instead it takes a step back to look at the ecosystem your technology will be deployed in, and the implementation choices which define the seam between your system and the broader world. Put simply, this is an attempt to see the forest, not the trees. The project and GitHub repos are online at https://summerchild.dev |
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