Data Science Insider: September 23rd, 2022

In This Week’s SuperDataScience Newsletter: Getty Images Bans AI-Generated Art Over Copyright Concerns. No-Code AI and the Future of Data Science. Dall-E 2 Users To be Allowed to Upload Faces. AI to be Used to Protect Endangered Eagles from Wind Turbines. AI Portraits Show What Late Celebrities Might Look Like Today. Cheers, - The SuperDataScience Team P.S. Have friends and colleagues who could benefit from these weekly updates? Send them to [this link]( to subscribe to the Data Science Insider. --------------------------------------------------------------- [Getty Images Bans AI- Art Over Copyright Concerns]( brief: Getty Images has announced a ban on people uploading AI-generated pictures to its massive stock image collection (it has a library of over 477 million assets) citing concerns over copyright. It is the latest and largest user-generated content platform to introduce a ban and follows similar decisions by sites such as Newgrounds, PurplePort, and FurAffinity. Machine-made artwork has become increasingly popular with text-to-image tools, such as DALL-E, Midjourney, Craiyon, and Stable Diffusion leading the field and allowing anyone to create images from text descriptions by simply paying a small fee or using a free model. In this article Getty Images CEO Craig Peters says that the ban came about following concerns about the legality of AI-generated content: “There are real concerns with respect to the copyright of outputs from these models and unaddressed rights issues with respect to the imagery, the image metadata and those individuals contained within the imagery.” Why this is important: This decision is a logical move for Getty as image creators often sample images that may be copyrighted, leaving them open to legal repercussions for effectively stealing art and profiting from it. However, as the article notes, it may be difficult to enact the ban when AI-generated art is so widespread on the platform. [Click here to learn more!]( [No-Code AI and the Future of Data Science]( brief: No-code AI is an ML-fueled conversational interface for performing data analytics and a way of building AI solutions without having to write any lines of code. It has grown in popularity as it allows you to test out ideas quickly, build new projects, and create businesses and new products faster. It also reduces the need for a team of data scientists. In order to find out more about how no-code AI is being used and what it could mean for the future of data science, this article by Digital Journal offers a Q&A with Kevin Chen, Chief Data Scientist of Experian DataLabs in North America. In the interview, Chen says: “The promise of no-code AI and its applications is significant and will continue to power data analytics and insights for business decision-makers. The key will be integrating the technology into more and more business applications across different industries.” Why this is important: Chen argues that data scientists will still be needed as “no-code AI still requires upfront coding to enable the behind-the-scenes presentation of data and intelligence.” However, we must be aware of an interface that is likely to affect our industry shortly. [Click here to read on!]( [Dall-E 2 Users To be Allowed to Upload Faces]( In brief: OpenAI has announced that for the first time, users of the image-generating AI, Dall-E 2, will be allowed to upload faces to the system. The feature come at a time when competition in the sector has become increasingly heated and signals the latest relaxation of the company’s rules around how its tool, which can generate high-quality images from a text prompt, can be used. When the tool was first launched in public beta, users were banned by OpenAI from generating images that had a realistic face. These rules were later lowered to allow for the generation of realistic faces, but still maintained a ban on creating the likeness of specific individuals. As long as users have consent, they can now upload photos that depict real people and use OpenAI’s tools to generate new variations of the images. Why this is important: Using faces can enable Dall-E 2 to be used in ways that offer much to society, such as surgeons using it to help patients visualise results. But it also has the potential to be abused and used to create Deepfakes. [Click here to discover more!]( [AI to be Used to Protect Eagles from Wind Turbines]( In brief: The German government has turned to AI-powered cameras in the hope that they will protect endangered eagles from crashing into wind turbines. The lesser spotted eagle of the Oder delta enjoys riding thermals in the flatlands which have been reserved for mass expansion of onshore windfarms by German Chancellor Olaf Schol. The German Government is keen on building increasing numbers of wind turbine farms – alongside reactivated coal and oil power stations – as they believe that it will help the nation wean itself off Russian fossil fuels, which are becoming increasingly problematic and insecure. However, as the eagles have been known to collide with wind turbines there has been resistance to the idea of expansion. Lesser spotted eagles in mid-flight are unused to vertical obstacles, and therefore keep their eyes focused on the ground below, looking for prey. The government is counting on AI-driven “anti-collision systems” to protect rare species. Why this is important: Hundreds of thousands of images of the birds are being fed into an algorithm that is linked to a camera system placed on a tower. Neural networks are then to be used to detect eagles approaching flying towards the turbine and alert it so that its rotations slow down into “trundle mode” of no more than two per minute, allowing the eagle time to avoid the blades. [Click here to see the full picture!]( [AI Shows What Late Celebrities Might Look Like Today]( In brief: Photographer Alper Yesiltas has used AI and editing software to envision how celebrities who died prematurely may have looked if they were still alive in 2022. The Turkey-based photographer created the portraits for a project titled 'As If Nothing Happened.' They include portraits of Kurt Cobain, John Lennon, Freddie Mercury, Janis Joplin, Tupac, Heath Ledger, Freddie Mercury, Jimi Hendrix, Michael Jackson, Elvis Presley, and Bruce Lee. Yesiltas used a variety of software, ranging from Remini, an AI photo enhancer, to photo editing programs including Lightroom and VSCO, to create the images. He said: ''With the development of AI technology, I’ve been excited for a while, thinking that "anything imaginable can be shown in reality.' I saw what I could do and thought about what would make me the happiest: I wanted to see some of the people I missed again in front of me.” Why this is important: Yesiltas has claimed that he is looking to extend the project in the future, possibly under the new title of ’Life in 2050’ where we may have the opportunity to see more images that answer the question: what if? [Click here to find out more!]( [Super Data Science podcast]( this week's [Super Data Science Podcast](, Dr Ken Stanley, a world-leading expert on Open-Ended A.I., joins Jon Krohn for a discussion that has the potential to change your entire view on life! From genetic ML algorithms to the Objective Paradox, Novelty Search, and more, tune in for an eye-opening episode. --------------------------------------------------------------- What is the Data Science Insider? 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