Data Science Insider: September 30th, 2022

This Week’s SuperDataScience Newsletter: EU Proposes Rules to Make it Easier to Sue Makers of AI Systems. DALL-E 2 Access is Now Open to Everyone. Tesla’s AI Day: A Preview. Open-Source Projects Transforming AI and ML. AI Keeps Darth Vader Alive. 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. --------------------------------------------------------------- [EU Proposes Rules to Make it Easier to Sue Makers of AI]( brief: The European Commission is seeking to make it easier for individuals and companies to sue the manufacturers of drones, robots, and other products. The proposed rules will make it possible for legal action to be launched against the makers of any products that are equipped with AI software and claim compensation for any harm caused by them. The AI Liability Directive is designed to tackle the increasing use of AI-enabled products and services and the assortment of national rules which exist across the EU. The new rules would seek to reduce the burden of proof on victims with a "presumption of causality." This means victims of AI systems or drones would only need to show, in their lawsuit, that a manufacturer or user's failure to comply with certain EU requirements was the cause of the harm and they would then have to link this to the AI technology. Why this is important: The 27-country European Union currently has no unified means of suing for harm caused by AI systems. The AI Liability Directive would resolve this by creating “a legal framework that was fit for the digital age.” [Click here to learn more!]( [DALL-E 2 Access is Now Open to Everyone]( brief: It seems that almost every week there is a new update in the news from Dall-E, a service that uses AI to turn text prompts into visual art. SuperDataScience first covered the story some time ago but now, finally, the company behind it- OpenAI- has accepted everybody on the Dall-E waiting list. In January 2022 DALL-E 2 launched and was initially open to 200 beta testers including artists and researchers hand-selected by OpenAI. By May of this year, we were covering how 1,000 new users a week were being introduced from a waitlist of users who added themselves, hoping to be approved by the company. To date, 1.5 million people have been granted access and were creating what OpenAI claims is 2 million images a day. The opening out of the service comes after increased safeguarding and, OpenAI claims it has "more robust" abilities to filter out policy-violating content. Why this is important: This development has been teased for a while and will certainly be welcomed by many in our industry. A developer framework currently in testing should also bring DALL-E 2 to third-party apps shortly. [Click here to read on!]( [Tesla’s AI Day: A Preview]( In brief: It’s that time of year again. Elon Musk will kick off Tesla’s AI Day today, where he will outline the company’s path to fully autonomous vehicles. This article by The Verge previews what we can expect and draws our attention to areas of potential interest. It highlights how autonomous vehicles are likely to be secondary in Musk’s keynote speech, as he is instead expected to draw attention to a robot named Optimus, which he has dubbed “the most important product development we’re doing this year,” with “the potential to be more significant than the vehicle business over time.” There is scepticism around the idea that a prototype may be ready but in a tweet on June 2nd Musk claimed that the event, originally scheduled for August 19th had been pushed back with the hope that an Optimus robot would be working by the rescheduled date. Why this is important: It remains to be seen whether a working prototype is ready, but is fair to say that all eyes will be on Tesla to see what developments they have made in the field of robotics. [Click here to discover more!]( [Open-Source Projects Transforming AI and ML]( In brief: This article by InfoWorld looks at thirteen fascinating open-source projects which are currently serving to change the face of AI and ML. It claims, "Open source is fertile ground for transformative software, especially in cutting-edge domains like artificial intelligence (AI) and machine learning. The open source ethos and collaboration tools make it easier for teams to share code and data and build on the success of others.” Some of the projects such as TensorFlow and PyTorch, and DALL-E will be familiar to SuperDataScience readers but some, such as YOLOv7 (“One of the fastest and most accurate open source object detection tools. Just provide the tool with a collection of images full of objects and see what happens next) or Robocode (“like the Hunger Games for your algorithms”) may be less familiar and offer you some new projects to explore. Why this is important: Data scientists must always stay abreast of new developments in the industry. Open-source projects are having a real moment and it pays to keep on top of the big hitters. [Click here to see the full picture!]( [AI Keeps Darth Vader Alive]( In brief: The actor James Earl Jones is now 91 and news of his retirement led many to fear for the future of one of Hollywood’s greatest villains. Jones has been a part of the Star Wars franchise since 1977 when he first voiced Darth Vader with his distinctive raspy voice, ultimately becoming responsible for some of the most famous lines in cinema, including “I am your father” from the 1980 Star Wars film The Empire Strikes Back. Due to his advancing age, Jones had suggested that the latest Obi-Wan Kenobi series on Disney+ would be his last. This then led to producers from LucasFilm vowing to “keep Vader alive” and agreed with Jones that they would use AI and archival recordings to recreate his voice. The pioneering AI technology being used has been created by a company in Ukraine called Respeecher, which uses archival recordings and AI to create a new dialogue. Why this is important: Although Darth Vader is an important part of our cultural identity the true significance of the technology lies in the plans to implement it in medical settings with Respeecher’s chief technical officer, Dmytro Bielievtsov, claiming: “We’re working on applying this for medical purposes. Laryngectomy patients who have their vocal cords removed and replaced with a mechanical device makes their voice sound less natural. It’s really cool for them to be able to then speak with their natural voice again.” [Click here to find out more!]( [Super Data Science podcast]( this week's [Super Data Science Podcast](, we welcome Dr Emre Kiciman, Senior Principal Researcher at Microsoft Research, to share his world-leading knowledge on causal machine learning. Gear up for an in-depth episode that dives into exciting real-world applications of causal machine learning, the four key steps of causal inference, how these impact ML and so much more. --------------------------------------------------------------- What is the Data Science Insider? This email is a briefing of the week's most disruptive, interesting, and useful resources curated by the SuperDataScience team for Data Scientists who want to take their careers to the next level. Want to take your data science skills to the next level? Check out the [SuperDataScience platform]( and sign up for membership today! 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