The start of any season of Doctor Who is important, doubly so when there's a new co-star to introduce. "The Robot Revolution" has to get us to fall in love with Belinda Chandra (Varada Sethu), ensnare new fans and keep existing ones hooked. Especially since it's the second of two series that Disney paid for, meaning it's got to do well enough to keep the money flowing. It's an awkward teenage date, with Alan clearly trying to win the heart of his beau by buying her one of those star adoption certificates. In 2025, Belinda is now a nurse at a busy London hospital where, in the background, the Doctor is searching for her.

This study analyzed images generated by three popular generative artificial intelligence (AI) tools - Midjourney, Stable Diffusion, and DALLE 2 - representing various occupations to investigate potential bias in AI generators. Our analysis revealed two overarching areas of concern in these AI generators, including (1) systematic gender and racial biases, and (2) subtle biases in facial expressions and appearances. Firstly, we found that all three AI generators exhibited bias against women and African Americans. Moreover, we found that the evident gender and racial biases uncovered in our analysis were even more pronounced than the status quo when compared to labor force statistics or Google images, intensifying the harmful biases we are actively striving to rectify in our society. Secondly, our study uncovered more nuanced prejudices in the portrayal of emotions and appearances. For example, women were depicted as younger with more smiles and happiness, while men were depicted as older with more neutral expressions and anger, posing a risk that generative AI models may unintentionally depict women as more submissive and less competent than men. Such nuanced biases, by their less overt nature, might be more problematic as they can permeate perceptions unconsciously and may be more difficult to rectify. Although the extent of bias varied depending on the model, the direction of bias remained consistent in both commercial and open-source AI generators. As these tools become commonplace, our study highlights the urgency to identify and mitigate various biases in generative AI, reinforcing the commitment to ensuring that AI technologies benefit all of humanity for a more inclusive future.

Since the emergence of Midjourney and other image generators, artists have been watching and wondering whether AI is a great opportunity or an existential threat. Now, after a list of 16,000 names emerged of artists whose work Midjourney had allegedly used to train its AI – including Bridget Riley, Damien Hirst, Rachel Whiteread, Tracey Emin, David Hockney and Anish Kapoor – the art world has issued a call to arms against the technologists. British artists have contacted US lawyers to discuss joining a class action against Midjourney and other AI firms, while others have told the Observer that they may bring their own legal action in the UK. "What we need to do is come together," said Tim Flach, president of the Association of Photographers and an internationally acclaimed photographer whose name is on the list. "This public showing of this list of names is a great catalyst for artists to come together and challenge it. I personally would be up for doing that."

In 2023, artificial intelligence (AI) truly entered our daily lives. The latest data shows four in five teenagers in the United Kingdom are using generative AI tools. About two-thirds of Australian employees report using generative AI for work. At first, many people used these tools because they were curious about generative AI or wanted to be entertained. Now, people ask generative AI for help with studies, for advice, or use it to find or synthesise information. Other uses include getting help coding and making images, videos, or audio.

AI text generators, also known as language models, are algorithms that use artificial intelligence to generate human-like text based on a given prompt or seed text. These models are trained on vast amounts of text data, learning patterns, and relationships within the data to produce coherent and meaningful responses. AI or ML text generators can be used in a wide range of applications, including chatbots, customer service, content creation, and even creative writing. The Global AI Text Generator Market was valued at USD 360 million in 2022 and is expected to grow at a CAGR of 18% during the forecast period of 2023-2032 to reach USD 1,808 million. AI/ML generators can be used to produce responses to user queries in a conversational and natural manner, making them useful in developing chatbots for customer service or online support.

Artificial intelligence (AI) has emerged as a revolutionary technology with the potential to transform virtually every industry, and the art world is no exception. AI has opened up new possibilities for artists to create unique and innovative works of art that were previously impossible. With the help of AI algorithms, artists can generate music, images, and even entire pieces of art, opening the door to a new era of creativity. This has given rise to the field of AI art, where artists are using this technology to push the boundaries of traditional art forms and create new ones altogether. In this context, it is essential to analyze the impact that AI art is having on the art world, both in terms of how it is being created and how it is being consumed.

In today's post, we're going to delve into the fascinating world of artificial intelligence art, specifically how to fully control the AI generator. Now, I know what you're thinking: "Eva, that's an incredibly bold claim!" But trust me, with a little bit of know-how and a lot of determination, it's entirely possible to master the AI generator and make it work for you. First things first, we need to understand what an AI generator is and how it works. In simple terms, an AI generator is a machine learning model that generates new content based on a given set of inputs.

Lack of originality: AI generators may produce work that is not entirely original, as it is based on pre-existing data and patterns. This can be a concern for artists who prioritize originality and want to create work that is entirely their own. Lack of emotional depth: AI generators may produce work that lacks emotional depth or human insight. This can be a concern for artists who are interested in exploring human experiences in a deep and meaningful way. Dependence on technology: Artists who rely too heavily on AI generators may become overly dependent on technology and may lose touch with their own creativity and artistic skills.

Google recently published research on MusicLM, a system that creates music in any genre with a text description. As TechCrunch notes, projects like Google's AudioML and OpenAI's Jukebox have tackled the subject. However, MusicLM's model and vast training database (280,000 hours of music) help it produce music with surprising variety and depth. The AI can not only combine genres and instruments, but write tracks using abstract concepts that are normally difficult for computers to grasp. If you want a hybrid of dance music and reggaeton with a "spacey, otherworldly" tune that evokes a "sense of wonder and awe," MusicLM can make it happen.

How long will the naked eye be able to spot the difference between images made by generative artificial intelligence and art created by humans? Ari Melenciano, an artist who works at Google's Creative Lab, squints at her computer screen during our Zoom chat and scans artwork created with generative AI. "I mean, I can barely tell the difference now," she says. The public release of AI art tools, like Midjourney and DALL-E 2, has ignited contentious debates among artists, designers, and art fans alike. Many are critical of the fact that the technology's rapid progress was fueled by scraping the internet for publicly posted art and imagery, without credit or compensation to the artists who had their work stolen. "I think the current model of AI art generators is unethical, because of how they collected their data--against the knowledge of, basically, everybody involved," says Jared Krichevsky, a concept artist who designed the memeable AI-bot for the M3GAN movie.