OpenAI’s DALL E 2 creates biased or NSFW AI images

OpenAI’s DALL E 2 creates biased or NSFW AI images

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In short OpenAI’s imaging model, DALL E 2, may be fun to use, but it has common stereotypes and biases and can create NSFW images, making it risky to deploy in the real world, have warned the experts.

“Without sufficient safeguards, models like DALL E 2 could be used to generate a wide range of misleading and otherwise harmful content, and could affect how people perceive the authenticity of content more generally,” admitted the upstart. “DALL E 2 additionally inherits various biases from its training data, and its releases sometimes reinforce societal stereotypes.”

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A bowl of soup that is a portal to another dimension as digital art by DALL E 2

Since the prompt containing the words “stewardess”, for example, tends to skew the model by producing images of women, whereas “builders” will mostly show men. But that’s not the only concern, according to The Guardian.

Formed on images scavenged from the Internet, DALL·E 2 can sometimes create works that include branded logos or characters, leading some to wonder if it will raise copyright issues in the future.

DALL·E 2 is currently only available to select developers and artists for testing purposes. OpenAI wants to see how the tool performs and assess its level of risk before it is made available as a commercial API like its GPT-3 text generation system.

Can AI express its understanding of the physical world with text?

MIT researchers trained a neural network to automatically annotate video and audio data using text.

Alexander Liu, a graduate student at the American University’s Computer Science and Artificial Intelligence Laboratory, said the project teaches machines to better understand multiple data formats.

“The main challenge here is how can a machine align these different modalities?” Liu said in a statement. “As humans, it’s easy for us. We see a car, and then we hear the sound of a passing car, and we know it’s the same thing. But for machine learning, it is not so simple.”

Liu and his colleagues trained a system to ingest raw data and encode sample characteristics into an array of numbers. These data points represent different words describing a specific action. Trained on a limited number of videos, the model can choose between 1,000 words to describe it. For example, it must correctly label a video with the verb “to cry” if it detects the sight and sounds of a sobbing baby.

AI lacks knowledge of the real physical world if it is limited to processing one type of data, such as text. Researchers believe that giving machines the ability to recognize objects and express concepts in language will one day help robots better understand their environment. You can read an article describing the project here.

Soundcloud seizes a musical artificial intelligence start-up to predict the best hits

Independent music platform Soundcloud has acquired Musiio, a maker of machine-learning software that promises to automatically listen to songs and predict whether or not they will become popular, it announced this week.

Musicians can upload their tracks to SoundCloud, and some have managed to garner attention and land record deals. The site is less organized than other mainstream platforms like Spotify or Apple Music; listeners need to explore more to find the music they love. SoundCloud hopes Musiio’s tools will make this process easier.

“SoundCloud hosts more music from more creators than any platform on the planet,” its president said in a statement. “The acquisition of Musiio accelerates our strategy to better understand how this music uniquely evolves, which is critical to our success.”

Musiio has built a neural network that can process audio tracks to extract characteristics from a particular song, analyzing things like its tempo or energy to automatically label its genre and sound. These, in turn, can help automatically curate playlists based on songs Soundcloud listeners already love helping them discover new artists they might never have met before, claims- your. ®

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