Data Science Insider: October 28th, 2022

In This Week’s SuperDataScience Newsletter: Shutterstock Partners with OpenAI to Sell AI-Generated Art. US Signposts its Position on Upcoming EU AI Act. ML Aids in the Diagnosis of Sepsis. A Guide toData Analysis. Video of Joe Biden Singing Baby Shark Reveals Deepfake Worries. 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. --------------------------------------------------------------- [Shutterstock Partners with OpenAI to Sell AI-Generated Art]( brief: Shutterstock, the provider of stock photography, stock footage, stock music, and editing tools has announced that it has partnered with OpenAI to provide AI image synthesis services using the DALL-E API. The company maintains a library of around 200 million royalty-free stock photos, vector graphics, and illustrations, with around 10 million video clips and music tracks available for licensing. Until now, the firm has not allowed contributors to sell AI-generated artwork due to concerns about identifying its provenance but Shutterstock CEO Paul Hennessy claims it has "a long history of integrating AI into every part" of the business, said, thus making the company "the ideal partner to help our creative community navigate this new technology." The move into generative AI has been announced as part of an “ethical” action plan, which includes the launch of a fund to “compensate artists for their contributions.” Why this is important: This news is the latest in a long line of stories we’ve covered about the expansion of DALL-E. Although Shutterstock has attempted to counter any potential criticism of the move, questions still remain about how truly ethical the sale of AI-generated imagery can be. [Click here to learn more!]( [US Signposts its Position on Upcoming EU AI Act]( brief: Regular readers of the SuperDataScience newsletter will have been following the development of the EU’s AI Act - a proposed European law on artificial intelligence which will be the first law on AI by a major regulator anywhere in the world. On 19th October the Czech Presidency of the EU Council circulated a new compromise on the AI Act, which is set to be the basis for an agreement next month. American officials have made their feelings on the proposals known in a non-paper that has been sent to targeted government officials in some EU capitals and the European Commission. The non-paper calls for a narrower definition of AI, a broader exemption for general-purpose AI, a more substantial role for the AI Board, and an individualised risk assessment in the AI Act. The non-paper also warns that, as stands, the regulation could prevent cooperation with third countries. Why this is important: Whether the EU will take on board the US’ feedback remains to be seen but there is a clear dialogue that is taking place. What is apparent is that this legislation is likely to have an impact with exceeds the parameters of the EU. [Click here to read on!]( [ML Aids in the Diagnosis of Sepsis]( In brief: Sepsis is the body's extreme response to an infection and is responsible for an estimated 20% of deaths worldwide. Although it can be deadly and time-sensitive, diagnosis is often fraught with difficulties but researchers from the Chan Zuckerberg Biohub (CZ Biohub), the Chan Zuckerberg Initiative (CZI), and UC San Francisco (UCSF) have developed a new diagnostic method that applies ML to advanced genomics data from both microbe and host to identify and predict sepsis cases. Senior author Chaz Langelier, M.D., PhD, an associate professor of medicine in UCSF's Division of Infectious Diseases and a CZ Biohub Investigator said: "Sepsis is one of the top 10 public health issues facing humanity. One of the key challenges with sepsis is diagnosis. Existing diagnostic tests are not able to capture the dual-sided nature of the disease—the infection itself and the host's immune response to the infection." Why this is important: The potential to prevent 20% of global deaths is astonishing but the researchers have hopes of expanding the work further and using the same ML method to predict antibiotic resistance from pathogens. [Click here to discover more!]( [A Guide to Data Analysis]( In brief: Data analysis is a function of data science and the process of cleaning, changing, and processing raw data, in order to extract actionable, relevant information that helps businesses make informed decisions. There are many different types but this article by Builtin focuses on the main six: descriptive analysis, exploratory analysis, inferential analysis, predictive analysis, causal analysis, and mechanistic analysis. It then explores each type in-depth and in order of complexity, and looks at the goals they may help you achieve. The article quotes Hadley Wickham and Garrett Grolemund’s R for Data Science assertion that there are two camps of data analysis: Hypothesis generation which involves “looking deeply at the data and combining your domain knowledge to generate hypotheses about why the data behaves the way it does,” and hypothesis confirmation which involves “using a precise mathematical model to generate falsifiable predictions with statistical sophistication to confirm your prior hypotheses.” Why this is important: As data scientists, we should strive to make sure our knowledge is as comprehensive as possible. Keeping abreast of when to use the different types of data analysis is important and could result in optimal outcomes for your work. [Click here to see the full picture!]( [Video of Joe Biden Singing Baby Shark Reveals Deepfake Worries]( In brief: A viral video of the President of the United States, Joe Biden, mistaking the American national anthem for the children’s song ‘Baby Shark’ has led to concerns over the use of Deepfakes. Shortly after the edited video began circulating the Associated Press was forced to confirm that the video was a deepfake and not real. This followed conspiracy theories that Biden was suffering from dementia gaining tract with right-wing groups online. The video’s creators had no nefarious intentions and told the Associated Press that it was simply a joke. This article from the Guardian highlights how deepfakes are becoming an increasing concern with political videos on the rise but ordinary people also being targeted. It reveals how one study from Sensity AI, a research company, found that between 90% and 95% of online deepfake videos are comprised of nonconsensual pornography. Why this is important: Although this video was made to be purely humorous it's high jacking by certain factions reveals a very real danger to deepfakes, even when they’re not created for sinister purposes. [Click here to find out more!]( [Super Data Science podcast]( this week's [Super Data Science Podcast](, Philip Gradwell, Chief Economist at Chainalysis, joins Jon Krohn to discuss how cryptocurrency, blockchain, and data science come together to develop data products for banks, governments, and law enforcement. --------------------------------------------------------------- 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! Know someone who would benefit from getting The Data Science Insider? Send them [this link to sign up.]( # # If you wish to stop receiving our emails or change your subscription options, please [Manage Your Subscription]( SuperDataScience Pty Ltd (ABN 91 617 928 131), 15 Macleay Crescent, Pacific Paradise, QLD 4564, Australia