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John Danaher, Senior Lecturer in Law at the National University of Ireland (NUI) Galway:

“Understanding Techno-Moral Revolutions”

Talk held on August 24, 2021 for Colloquium of the Center for Humans and Machines at the Max Planck Institute for Human Development, Berlin.

It is common to use ethical norms and standards to critically evaluate and regulate the development and use of emerging technologies like AI and Robotics. Indeed, the past few years has seen something of an explosion of interest in the ethical scrutiny of technology. What this emerging field of machine ethics tends to overlook, however, is the potential to use the development of novel technologies to critically evaluate our existing ethical norms and standards. History teaches us that social morality (the set of moral beliefs and practices shared within a given society) changes over time. Technology has sometimes played a crucial role in facilitating these historical moral revolutions. How will it do so in the future? Can we provide any meaningful answers to this question? This talk will argue that we can and will outline several tools for thinking about the mechanics of technologically-mediated moral revolutions.

Not peer-reviewed yet but a submitted paper.

The ‘presented images’ were shown to a group of humans. The ‘reconstructed images’ were the result of an fMRI output to Stable Diffusion.

In other words, #stablediffusion literally read people’s minds.

Source 👇

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GenAug has been developed by Meta AI and the University of Washington, which utilizes pre-trained text-to-image generative artificial intelligence models to enable imitation-based learning in practical robots. Stanford artificial intelligence researchers have proposed a method, called ATCON to drastically improve the quality of attention maps and classification performance on unseen data. Google’s new SingSong AI can generate instrumental music that complements your singing.

AI News Timestamps:

What if an AI could interpret your imagination, turning images in your mind’s eye into reality? While that sounds like a detail in a cyberpunk novel, researchers have now accomplished exactly this, according to a recently-published paper.

Researchers found that they could reconstruct high-resolution and highly accurate images from brain activity by using the popular Stable Diffusion image generation model, as outlined in a paper published in December. The authors wrote that unlike previous studies, they didn’t need to train or fine-tune the AI models to create these images.

The researchers—from the Graduate School of Frontier Biosciences at Osaka University—said that they first predicted a latent representation, which is a model of the image’s data, from fMRI signals. Then, the model was processed and noise was added to it through the diffusion process. Finally, the researchers decoded text representations from fMRI signals within the higher visual cortex and used them as input to produce a final constructed image.

Amna Nawaz:

Artificial intelligence, or A.I., is everywhere. It’s now part of our conversations about education and politics and social media. It’s also become a hot topic in the art world.

Programs that generate art using A.I. are widely available to the public and are skyrocketing in popularity. But what goes into these programs and the work that comes out are heavily debated in the arts community.