Generative AI and its impact on the creative industries

He’s developed numerous product innovations and trading areas, including the first certificates and guarantee products. Finally, it’s very important that AI-driven asset managers explain their predictions to clients and fully communicate the benefits of the technology to them. This is important in that investors should understand why the AI-powered asset manager recommends, for example, selling stocks or buying securities in a company or industry to generate a particular course of action. There are several differences between AI-driven asset management and traditional asset management. AI-driven asset management is much more data-driven than traditional asset management, the latter using conventional methods, which require human interaction. In contrast, AI systems can use their algorithms to collect and process large amounts of data more quickly and effectively.

  • Shutterstock’s high-quality content library is enriched with vast metadata that leads the industry in size, diversity and annotation – making it unrivalled for training AI capabilities.
  • AI systems can therefore only be as accurate as the data they are fed; even small errors in the data can lead to inaccurate predictions.
  • In its current stage, the technology lacks the nuance and thinking skills needed to evoke genuine emotion.
  • The tool allows teams to work together on projects, making it easy to share and edit designs in real time.
  • A good writer understands structures and patterns and tone of voice, using those to draw the audience in, something a chatbot reliant on data cannot do… yet.

It is our responsibility to steer AI in the right direction and course-correct when necessary. By adopting a proactive approach and maintaining a balance between human expertise and AI capabilities, we can ensure that AI serves as a valuable tool in the construction industry. Andrew Crawford, head of IT business solutions at GRAHAM, said the ‘significant potential’ of AI could offer solutions to challenges such as skills shortages and low productivity.

Prigozhin gives message to troops from beyond the grave in eerie video is an online video editing platform that provides users with a simple and intuitive way to edit videos. Whether you are a professional videographer, a social media content creator, or someone who simply wants to enhance your videos, offers a range of tools and features to make the editing process easy and efficient. Visme is a powerful and versatile online visual content creation tool that enables users to create stunning presentations, infographics, charts, reports, and other visual materials. It provides a user-friendly interface and a wide range of features to help individuals and teams effectively communicate their ideas and data in a visually engaging way. Wepik is an innovative online platform that offers a wide range of customizable design templates, graphics, and assets for various creative projects.

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AI tools are not perfect – they often produce incorrect or, in some cases, totally fabricated information. We must always ensure that information is accurate and sometimes a human can be better at this. Fiona Hodgson, chief executive at SNIPEF (the Scottish and Northern Ireland Plumbing Employers’ Federation), told Project Scotland she believes AI has the potential to reshape Scotland’s construction industry, including its plumbing and heating profession. However, she wants to see the digital transition managed ‘responsibly’ to balance economic advancement with social impact, as the EU competition chief, Margrethe Vestager, recently highlighted. AI chatbots like Google’s Bard, Open AI’s ChatGPT and other generative AI systems create content using large amounts of data scraped from the internet.

Tech’s role in the UK’s fight against nuisance calls

Axel Springer also made headlines when it announced plans to make about 200 people redundant at Bild in a digital-only transition that would involve an “AI offensive”. In the US, Newsquest’s parent company Gannett paused the use of a generative AI tool named LedeAI to write high school sports reports after a number of “major flubs”, as CNN described them, in articles published by a number of its genrative ai local titles. The deal, which follows a similar arrangement between OpenAI and picture agency Shutterstock (see below), allows OpenAI to license part of AP’s text archive while the agency can “leverage OpenAI’s technology and product expertise”. After weeks of contentious licensing discussions between The New York Times and OpenAI, the news publisher is now reportedly considering legal action.

The “High-Resolution Video Synthesis with Latent Diffusion Models” project can turn text into video, or a GIF, in a matter of seconds. Better yet, it can do so while being computationally efficient and still output high-resolution files. Please ensure that you follow the template exactly, including text formatting (CAPITALS, italics), and any punctuation.

Founder of the DevEducation project


The power of AI comes from its ability to learn from vast amounts of data, including copyrighted material and proprietary information. Issues such as plagiarism, copyright infringement, deepfakes, and misappropriation of brands and identities need to be addressed proactively. Responsible use and accountability frameworks are essential to ensure trustworthy development and deployment of future generative AI technologies. These advancements in generative AI are made possible by training models on vast amounts of data and leveraging advanced Machine Learning algorithms.

One of the remarkable aspects of DALL-E is its ability to generate visuals that go beyond the scope of conventional image-generation models. It can generate images depicting surreal scenes, fantastical creatures, and combinations of objects or concepts that are not commonly seen in the real world. This creativity and flexibility make DALL-E a valuable resource for those seeking imaginative and out-of-the-box visual content.

There are plenty of times when a fake or misleading image has gone viral on social media, only for the correction or additional context to get nowhere. This extra contextual information from Google is a step in the right direction, but it’s unlikely to make much of a dent in a problem that’s only going to worsen substantially over the next decade. While DALL-E is primarily known for its image-generation capabilities, it can also perform other tasks related to image understanding. For instance, it can rank and compare images based on textual descriptions, demonstrating its ability to connect images and language.

Users should have a clear understanding of when they are interacting with AI-generated content and how their data is being used. Additionally, robust mechanisms for copyright protection, content attribution and intellectual property genrative ai rights should be established to foster a fair and reliable AI ecosystem. The concept of the Metaverse, while not riding the wave of popularity it was a year or two ago, is all the same, being transformed by generative AI.

Adobe and NVIDIA will co-develop generative AI models with a focus on responsible content attribution and provenance to accelerate workflows of the world’s leading creators and marketers. These models will be jointly developed and brought to market through Adobe Cloud flagship products like Photoshop, Premiere Pro, and After Effects, as well as through Picasso. UK regional publisher Newsquest hired its first “AI-powered” reporter in June with the remit to expand the use of AI tools, including to create local content. Shutterstock’s growing alliance with Meta is a part of its greater strategic vision to be at the centre of technology, design, content and innovation.

shutterstock generative ai