Thursday, September 7: Artificial Intelligence
"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.
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AI is revolutionizing the art world by providing innovative tools that enhance design, aesthetics, and exploration.
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 may not live up to the high expectations surrounding its potential impact due to numerous unsolved technological issues, according to scientist Gary Marcus, who warns against governments basing policy decisions on the assumption that generative AI will be revolutionary.
Generative AI is starting to impact the animation and visual effects industry, with companies like Base Media exploring its potentials, but concerns about job security and copyright infringement remain.
Google DeepMind has commissioned 13 artists to create diverse and accessible art and imagery that aims to change the publicâs perception of AI, countering the unrealistic and misleading stereotypes often used to represent the technology. The artwork visualizes key themes related to AI, such as artificial general intelligence, chip design, digital biology, large image models, language models, and the synergy between neuroscience and AI, and it is openly available for download.
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 US military is exploring the use of generative AI, such as ChatGPT and DALL-E, to develop code, answer questions, and create images, but concerns remain about the potential risks of using AI in warfare due to its opaque and unpredictable algorithmic analysis, as well as limitations in decision-making and adaptability.
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.
Parents and teachers should be cautious about how children interact with generative AI, as it may lead to inaccuracies in information, cyberbullying, and hamper creativity, according to Arjun Narayan, SmartNews' head of trust and safety.
Companies are adopting Generative AI technologies, such as Copilots, Assistants, and Chatbots, but many HR and IT professionals are still figuring out how these technologies work and how to implement them effectively. Despite the excitement and potential, the market for Gen AI is still young and vendors are still developing solutions.
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.
Salesforce has released an AI Acceptable Use Policy that outlines the restrictions on the use of its generative AI products, including prohibiting their use for weapons development, adult content, profiling based on protected characteristics, medical or legal advice, and more. The policy emphasizes the need for responsible innovation and sets clear ethical guidelines for the use of AI.
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.
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 increasing investment in generative AI and its disruptive impact on various industries has brought the need for regulation to the forefront, with technologists and regulators recognizing the importance of ensuring safer technological applications, but differing on the scope of regulation needed. However, it is argued that existing frameworks and standards, similar to those applied to the internet, can be adapted to regulate AI and protect consumer interests without stifling innovation.
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 artificial intelligence, such as ChatGPT and Stable Diffusion, raises legal questions related to data use, copyrights, patents, and privacy, leading to lawsuits and uncertainties that could slow down technology adoption.
Generative AI tools are providing harmful content surrounding eating disorders around 41% of the time, raising concerns about the potential exacerbation of symptoms and the need for stricter regulations and ethical safeguards.
Artificial intelligence (AI) tools can put human rights at risk, as highlighted by researchers from Amnesty International on the Me, Myself, and AI podcast, who discuss scenarios in which AI is used to track activists and make automated decisions that can lead to discrimination and inequality, emphasizing the need for human intervention and changes in public policy to address these issues.
Generative AI is being used to create misinformation that is increasingly difficult to distinguish from reality, posing significant threats such as manipulating public opinion, disrupting democratic processes, and eroding trust, with experts advising skepticism, attention to detail, and not sharing potentially AI-generated content to combat this issue.
AI has the potential to disrupt the job market, with almost 75 million jobs at risk of automation, but it is expected to be more collaborative than replacing humans, and it also holds the potential to augment around 427 million jobs, creating a digitally capable future; however, this transition is highly gendered, with women facing a higher risk of automation, particularly in clerical jobs.
âA Recent Entrance to Paradiseâ is a pixelated artwork created by an artificial intelligence called DABUS in 2012. However, its inventor, Stephen Thaler, has been denied copyright for the work by a judge in the US. This decision has sparked a series of legal battles in different countries, as Thaler believes that DABUS, his AI system, is sentient and should be recognized as an inventor. These lawsuits raise important questions about intellectual property and the rights of AI systems. While Thaler's main supporter argues that machine inventions should be protected to encourage social good, Thaler himself sees these cases as a way to raise awareness about the existence of a new species. The debate revolves around whether AI systems can be considered creators and should be granted copyright and patent rights. Some argue that copyright requires human authorship, while others believe that intellectual property rights should be granted regardless of the involvement of a human inventor or author. The outcome of these legal battles could have significant implications for the future of AI-generated content and the definition of authorship.
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.
Google's plan to create an AI-based "life coach" app raises concerns about the combination of generative AI and personalization, as these AI systems could manipulate users for revenue and potentially erode human agency and free will.
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 artificial intelligence, particularly large language models, has the potential to revolutionize various industries and add trillions of dollars of value to the global economy, according to experts, as Chinese companies invest in developing their own AI models and promoting their commercial use.
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.
The digital transformation driven by artificial intelligence (AI) and machine learning will have a significant impact on various sectors, including healthcare, cybersecurity, and communications, and has the potential to alter how we live and work in the future. However, ethical concerns and responsible oversight are necessary to ensure the positive and balanced development of AI technology.
Generative AI is most popular among Gen Z and millennials, with the majority of users stating that it is transforming their lives and they are quickly learning to use it; however, there is a clear divide between generations and employment status, with slower adoption among Gen X and baby boomers, and concerns about the impact on their lives and data security being the main reasons for hesitation.
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.
Government agencies at the state and city levels in the United States are exploring the use of generative artificial intelligence (AI) to streamline bureaucratic processes, but they also face unique challenges related to transparency and accountability, such as ensuring accuracy, protecting sensitive information, and avoiding the spread of misinformation. Policies and guidelines are being developed to regulate the use of generative AI in government work, with a focus on disclosure, fact checking, and human review of AI-generated content.
Generative AI can help small businesses manage their social media presence, personalize customer service, streamline content creation, identify growth opportunities, optimize scheduling and operations, enhance decision-making, revolutionize inventory management, transform supply chain management, refine employee recruitment, accelerate design processes, strengthen data security, and introduce predictive maintenance systems, ultimately leading to increased productivity, cost savings, and overall growth.
Generative AI, while revolutionizing various aspects of society, has a significant environmental impact, consuming excessive amounts of water and emitting high levels of carbon emissions. Despite some green initiatives by major tech companies, the scale of this impact is projected to increase further.
As generative AI continues to gain attention and interest, business leaders must also focus on other areas of artificial intelligence, machine learning, and automation to effectively lead and adapt to new challenges and opportunities.
The rise of easily accessible artificial intelligence is leading to an influx of AI-generated goods, including self-help books, wall art, and coloring books, which can be difficult to distinguish from authentic, human-created products, leading to scam products and potential harm to real artists.
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.
Generative AI is set to revolutionize game development, allowing developers like King to create more levels and content for games like Candy Crush, freeing up artists and designers to focus on their creative skills.
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.
MIT has selected 27 proposals to receive funding for research on the transformative potential of generative AI across various fields, with the aim of shedding light on its impact on society and informing public discourse.
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.
White-collar workers, particularly those in software development, information technology, mathematics, information design, legal, and accounting positions, are at the highest risk of job displacement due to the rise of generative AI, with 95% of the skills required for these jobs being effectively performed by AI, according to research from Indeed. Jobs such as truck and taxi drivers, as well as cleaning and sanitation and beauty and wellness jobs, are considered least exposed to AI due to their reliance on in-person presence.
Generative AI, which includes language models like ChatGPT and image generators like DALL·E 2, has led to the emergence of "digital necromancy," raising the ethical concern of communicating with digital simulations of the deceased, although it can be seen as an extension of existing practices of remembrance and commemoration rather than a disruptive force.
The use of generative AI poses risks to businesses, including the potential exposure of sensitive information, the generation of false information, and the potential for biased or toxic responses from chatbots. Additionally, copyright concerns and the complexity of these systems further complicate the landscape.
The US Copyright Office has ruled for the third time that AI-generated art cannot be copyrighted, raising questions about whether AI-generated art is categorically excluded from copyright protection or if human creators should be listed as the image's creator. The office's position, which is based on existing copyright doctrine, has been criticized for being unscalable and a potential quagmire, as it fails to consider the creative choices made by AI systems similar to those made by human photographers.