- Social media creators are exploring the use of generative artificial intelligence (AI) to enhance their personal brands and streamline their work.
- Giselle Ugarte, a popular TikTok creator with nearly 300,000 followers, is testing AI technology to assist with onboarding new clients.
- Ugarte collaborated with Vermont startup Render Media to create a digital likeness of herself for her business.
- She spent a few hours at Render's New York studio, posing for a camera and reading scripts in different moods to capture her likeness.
- The use of AI technology in this way could potentially save creators time and effort in managing their online presence and engaging with clients.
Generative AI is unlikely to completely take over jobs, but rather automate certain tasks, particularly in clerical work, potentially impacting female employment; however, most other professions are only marginally exposed to automation, with the technology more likely to augment work rather than substitute it, according to a study by the International Labour Organization.
The use of copyrighted works to train generative AI models, such as Meta's LLaMA, is raising concerns about copyright infringement and transparency, with potential legal consequences and a looming "day of reckoning" for the datasets used.
Generative AI, immersive technology, and climate technology are identified as the top three trends that will have the biggest impact on Thailand in the next year, according to McKinsey & Company. Generative AI shows potential for transformative business impact, while immersive technology and climate technology have various potential use cases such as enhancing customer experiences and driving tourism. However, there is still a need to explore and understand the opportunities and risks associated with generative AI. Additionally, the report highlights the shortage of tech talent as a key issue limiting growth in these fields.
Three artists, including concept artist Karla Ortiz, are suing AI art generators Stability AI, Midjourney, and DeviantArt for using their work to train generative AI systems without their consent, in a case that could test the boundaries of copyright law and impact the way AI systems are built. The artists argue that feeding copyrighted works into AI systems constitutes intellectual property theft, while AI companies claim fair use protection. The outcome could determine the legality of training large language models on copyrighted material.
The Alliance of Motion Picture and Television Producers has made a proposal to ban generative AI material and increase SVOD residuals in their contract negotiation with the Writers Guild of America, in order to end the ongoing strike.
The Alliance of Motion Picture and Television Producers has proposed guidelines for the usage of artificial intelligence (AI) and data transparency in the entertainment industry, stating that AI-created material cannot be considered literary or intellectually protected, and ensuring that credit, rights, and compensation for AI-generated scripts are given to the original human writer or reworker.
Generative AI is enabling the creation of fake books that mimic the writing style of established authors, raising concerns regarding copyright infringement and right of publicity issues, and prompting calls for compensation and consent from authors whose works are used to train AI tools.
Hollywood studios are considering the use of generative AI tools, such as ChatGPT, to assist in screenwriting, but concerns remain regarding copyright protection for works solely created by AI, as they currently are not copyrightable.
Entrepreneurs and CEOs can gain a competitive edge by incorporating generative AI into their businesses, allowing for expanded product offerings, increased employee productivity, more accurate market trend predictions, but they must be cautious of the limitations and ethical concerns of relying too heavily on AI.
Artificial intelligence, particularly generative AI, is being embraced by the computer graphics and visual effects community at the 50th SIGGRAPH conference, with a focus on responsible and ethical AI, despite concerns about the technology's impact on Hollywood and the creative process.
Artificial intelligence (A.I.) may not pose a significant threat to human creativity or intellectual property, as machines still struggle to produce groundbreaking artistic work and are often limited to mimicry rather than true artistic expression.
AI technology, specifically generative AI, is being embraced by the creative side of film and TV production to augment the work of artists and improve the creative process, rather than replacing them. Examples include the use of procedural generation and style transfer in animation techniques and the acceleration of dialogue and collaboration between artists and directors. However, concerns remain about the potential for AI to replace artists and the need for informed decision-making to ensure that AI is used responsibly.
A Washington D.C. judge has ruled that AI-generated art should not be awarded copyright protections since no humans played a central role in its creation, establishing a precedent that art should require human authorship; YouTube has partnered with Universal Music Group to launch an AI music incubator to protect artists from unauthorized use of their content; Meta has introduced an automated translator that works for multiple languages, but concerns have been raised regarding the impact it may have on individuals who wish to learn multiple languages; major studios are hiring "AI specialists" amidst a writers' strike, potentially leading to a future of automated entertainment that may not meet audience expectations.
Artificial intelligence (AI) is seen as a tool that can inspire and collaborate with human creatives in the movie and TV industry, but concerns remain about copyright and ethical issues, according to Greg Harrison, chief creative officer at MOCEAN. Although AI has potential for visual brainstorming and automation of non-creative tasks, it should be used cautiously and in a way that values human creativity and culture.
The surge in generative AI technology is revitalizing the tech industry, attracting significant venture capital funding and leading to job growth in the field.
Generative AI, a technology with the potential to significantly boost productivity and add trillions of dollars to the global economy, is still in the early stages of adoption and widespread use at many companies is still years away due to concerns about data security, accuracy, and economic implications.
Generative AI tools are revolutionizing the creator economy by speeding up work, automating routine tasks, enabling efficient research, facilitating language translation, and teaching creators new skills.
Stephen King, a renowned author, defends generative AI by comparing it to the Luddites' resistance to industrial progress, despite the fact that the Luddites were actually protesting against the exploitation of workers through machinery, not progress itself. However, many creatives are concerned about AI's impact on their livelihoods, as it eradicates revenue streams and reduces opportunities for emerging artists, making it crucial to critically examine how the technology is being utilized.
The ongoing strike by writers and actors in Hollywood may lead to the acceleration of artificial intelligence (AI) in the industry, as studios and streaming services could exploit AI technologies to replace talent and meet their content needs.
"Generative" AI is being explored in various fields such as healthcare and art, but there are concerns regarding privacy and theft that need to be addressed.
The use of AI in the entertainment industry, such as body scans and generative AI systems, raises concerns about workers' rights, intellectual property, and the potential for broader use of AI in other industries, infringing on human connection and privacy.
Generative AI tools are causing concerns in the tech industry as they produce unreliable and low-quality content on the web, leading to issues of authorship, incorrect information, and potential information crisis.
Generative AI is increasingly being used in marketing, with 73% of marketing professionals already utilizing it to create text, images, videos, and other content, offering benefits such as improved performance, creative variations, cost-effectiveness, and faster creative cycles. Marketers need to embrace generative AI or risk falling behind their competitors, as it revolutionizes various aspects of marketing creatives. While AI will enhance efficiency, humans will still be needed for strategic direction and quality control.
Generative AI is making its presence felt at the Venice film festival, with one of the highlights being a VR installation that creates a personalized portrait of users' lives based on their answers to personal questions. While there are concerns about the impact of AI on the entertainment industry, XR creators believe that the community is still too small to be seen as a significant threat. However, they also acknowledge that regulation will eventually be necessary as the artform grows and reaches a mass audience.
The creator of an AI-generated artwork is unable to copyright it, as the US Copyright Office states that human authorship is necessary for copyright, which could have implications for the popularity of AI art generators.
The generative AI boom has led to a "shadow war for data," as AI companies scrape information from the internet without permission, sparking a backlash among content creators and raising concerns about copyright and licensing in the AI world.
The use of AI in the film industry has sparked a labor dispute between actors' union SAG-AFTRA and studios, with concerns being raised about the potential for AI to digitally replicate actors' images without fair compensation, according to British actor Stephen Fry.
Generative AI is empowering fraudsters with sophisticated new tools, enabling them to produce convincing scam texts, clone voices, and manipulate videos, posing serious threats to individuals and businesses.
Generative AI is a form of artificial intelligence that can create various forms of content, such as images, text, music, and virtual worlds, by learning patterns and rules from existing data, and its emergence raises ethical questions regarding authenticity, intellectual property, and job displacement.
