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still thinking about Ai ...
Video Collection:

Haben Computer Vorurteile?
42 - Die Antwort auf fast alles

Machen wir uns nichts vor: Wir haben Vorurteile. Wer kriegt den Job oder den Kredit? Wer muss wie lange ins Gefängnis? Solche Fragen müssen Menschen beantworten - doch wie können sie dabei sicher sein, rational zu entscheiden? Wäre es da nicht viel klüger, wir würden solche Entscheidungen einer künstlichen Intelligenz überlassen? In vielen Fällen geschieht das bereits  ...

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Regie
Thies Schnack
2021

Mit offenen Augen
KI-Kunst

Ein von einer Künstlichen Intelligenz erschaffenes Bild gewinnt in den USA einen Wettbewerb und wirft Fragen über die Zukunft von Künstlern auf: Skandal, Wendepunkt in der Kunstgeschichte oder logische Weiterentwicklung des Kunstschaffens?    

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Moderation
Sonia Devillers
2022

Künstliche Intelligenz
Fluch oder Segen?

Aus vielen Gebieten unseres Lebens ist Künstliche Intelligenz nicht mehr
wegzudenken. Doch mit der sich rasant entwickelnden Technologie gehen zahlreiche Fragen einher. Könnte KI wirklich objektiv und ohne Vorurteile arbeiten? Sollten selbstfahrende Autos einen Moralkodex besitzen? Und werden Roboter in Zukunft die Nähe anderer Menschen
ersetzen können?

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still thinking about Ai ...
Tool Collection:


DALL·E 2
“DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.”
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ChatGPT 
Optimizing Language Model for Dialogue

“We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.” 
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OpenAI
OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity.

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Midjourney
“Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species.

We are a small self-funded team focused on design, human infrastructure, and AI. We have 11 full-time staff and an incredible set of advisors.”

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Stable Diffusion
“The Stable Diffusion 2.0 release includes robust text-to-image models trained using a brand new text encoder (OpenCLIP), developed by LAION with support from Stability AI, which greatly improves the quality of the generated images compared to earlier V1 releases. The text-to-image models in this release can generate images with default resolutions of both 512x512 pixels and 768x768 pixels.

These models are trained on an aesthetic subset of the LAION-5B dataset created by the DeepFloyd team at Stability AI, which is then further filtered to remove adult content using LAION’s NSFW filter.”
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DreamAI
“Enter a prompt, pick an art style and WOMBO Dream turns your idea into an AI-powered painting in seconds.”
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fontmap
“Designers at IDEO wanted to bring artificial intelligence to the world of fonts, so they created Font Map, a quick experiment to see how machine learning can address challenges in design.”

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still thinking about Ai ...
Information / Projects / Online Archives


The Elements of AI
“Hinter „The Elements of AI“ verbirgt sich eine Reihe kostenloser Onlinekurse, entwickelt von der finnischen Unternehmensberatung MinnaLearn und der Universität Helsinki. Ziel ist es, das Thema KI möglichst vielen Menschen näherzubringen: Was ist KI? Was kann KI (und was nicht)? Und wie werden KI-Methoden entwickelt?

Die Kurse kombinieren theoretische Wissensvermittlung mit praktischen Übungen, und die Teilnehmer können ihr Lerntempo selbst bestimmen.”

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A People’s Guide To Tech
“What does listening to music, booking a flight, and getting stopped by the police all have in common? All these activities may involve artificial intelligence (AI) at work today.

As automation, machine learning and big data increasingly control our daily lives, the consequences of AI disproportionately affect historically disadvantaged communities who are technologically redlined. 

What does fairness look like when computers shape decision-making? The path to a more equitable future starts with the humans behind the machines, not just algorithms. Can AI be created by and for low-income and communities of color? This popular education-inspired guide breaks down and contextualizes artificial intelligence technologies within structural racism — and provides hands-on exercises to help us imagine beyond, and dream up alternate and ideal futures with AI.”

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“The Creative AI Lab is a collaboration between Serpentine R&D Platform and the Department of Digital Humanities, King’s College London.

New approaches to aspects of Artificial Intelligence/Machine Learning (AI/ML) including interface design, production and engagement have emerged from artistic practices. The aim of the lab is to surface this ‘back-end’ knowledge and link it to wider artistic and curatorial practices in order to overcome the existing ‘black-box’ narratives. Through the lens of art-making, the lab produces knowledge for cultural institutions, artists, engineers and researchers on how to engage AI/ML as media.

Additionally, the lab aims to develop institutional capacities to engage with these media for the benefit of the wider cultural sector.” 

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“In July 2018 a group of artists, designers and creatives worked for three days on the creation of new methods of authentication, using machine learning·”

“Back when computer interfaces were nothing but keyboards, a string of characters seemed like the optimal solution to authenticate users.

For decades our digital rituals evolved with the interfaces, while passwords still remain unchallenged.

What if we could design new ways to replace the password, using modern hardware and software like machine learning?”

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ml5.js

Friendly machine learning for the web!

 “Welcome to the ml5 project! Developing ml5 is not just about developing machine learning software, it is about making machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.


The library is supported by code examples, tutorials, and sample datasets with an emphasis on ethical computing. Bias in data, stereotypical harms, and responsible crowdsourcing are part of the documentation around data collection and usage. We're building friendly machine learning for the web - we're glad you're here!”

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