The main topic of the article is Kickstarter's struggle to formulate a policy regarding the use of generative AI on its platform. The key points are:
1. Generative AI tools used on Kickstarter have been trained on publicly available content without giving credit or compensation to the original creators.
2. Kickstarter is requiring projects using AI tools to disclose relevant details about how the AI content will be used and which parts are original.
3. New projects involving the development of AI tech must detail the sources of training data and implement safeguards for content creators.
4. Kickstarter's new policy will go into effect on August 29 and will be enforced through a new set of questions during project submissions.
5. Projects that do not properly disclose their use of AI may be suspended.
6. Kickstarter has been considering changes in policy around generative AI since December and has faced challenges in moderating AI works.
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.
A new poll conducted by the AI Policy Institute reveals that 72 percent of American voters want to slow down the development of AI, signaling a divergence between elite opinion and public opinion on the technology. Additionally, the poll shows that 82 percent of American voters do not trust AI companies to self-regulate. To address these concerns, the AI Now Institute has proposed a framework called "Zero Trust AI Governance," which calls for lawmakers to vigorously enforce existing laws, establish bold and easily administrable rules, and place the burden of proof on companies to demonstrate the safety of their AI systems.
AI-generated inventions need to be allowed patent protection to encourage innovation and maximize social benefits, as current laws hinder progress in biomedicine; jurisdictions around the world have differing approaches to patenting AI-generated inventions, and the US falls behind in this area, highlighting the need for legislative action.
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.
The U.S. is falling behind in regulating artificial intelligence (AI), while Europe has passed the world's first comprehensive AI law; President Joe Biden recently met with industry leaders to discuss the need for AI regulation and companies pledged to develop safeguards for AI-generated content and prioritize user privacy.
Artificial intelligence (AI) has the potential to deliver significant productivity gains, but its current adoption may further consolidate the dominance of Big Tech companies, raising concerns among antitrust authorities.
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.
The deployment of generation AI (gen AI) capabilities in enterprises comes with compliance risks and potential legal liabilities, particularly related to data privacy laws and copyright infringement, prompting companies to take a cautious approach and deploy gen AI in low-risk areas. Strategies such as prioritizing lower-risk use cases, implementing data governance measures, utilizing layers of control, considering open-source software, addressing data residency requirements, seeking indemnification from vendors, and giving board-level attention to AI are being employed to mitigate risks and navigate regulatory uncertainty.
The use of copyrighted material to train generative AI tools is leading to a clash between content creators and AI companies, with lawsuits being filed over alleged copyright infringement and violations of fair use. The outcome of these legal battles could have significant implications for innovation and society as a whole.
The US consumer behavior is driven by mixed signals due to an uncertain economy, with increasing consumer confidence, concerns about rising prices and job security, and a trend of trading down and splurging on certain categories, according to McKinsey senior partner Kelsey Robinson; McKinsey AI experts Michael Chui and Alex Singla discuss the opportunities and benefits of generative AI (gen AI) in various industries, such as banking, healthcare, marketing, and R&D, and estimate a potential value of $2 trillion to $4 trillion annually for businesses that effectively harness gen AI; Companies should prepare for the adoption of gen AI, aligning it with their strategic goals, encouraging employees to explore and learn about the technology, and using it to create value and gain a competitive advantage; However, the adoption and impact of gen AI may vary based on the region and the specific use cases.
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.
Artificial Intelligence (AI) used in outbound calling must comply with existing legal restrictions and regulations, such as the Telephone Consumer Protection Act (TCPA), which requires consent for calls made with artificial or prerecorded voices and regulates the use of Automatic Telephone Dialing Systems (ATDS). AI technology presents additional compliance considerations and potential exposure for businesses.
The GZERO World podcast episode discusses the explosive growth and potential risks of generative AI, as well as the proposed 5 principles for effective AI governance.
In his book, Tom Kemp argues for the need to regulate AI and suggests measures such as AI impact assessments, AI certifications, codes of conduct, and industry standards to protect consumers and ensure AI's positive impact on society.
Microsoft President Brad Smith advocates for the need of national and international regulations for Artificial Intelligence (AI), emphasizing the importance of safeguards and laws to keep pace with the rapid advancement of AI technology. He believes that AI can bring significant benefits to India and the world, but also emphasizes the responsibility that comes with it. Smith praises India's data protection legislation and digital public infrastructure, stating that India has become one of the most important countries for Microsoft. He also highlights the necessity of global guardrails on AI and the need to prioritize safety and building safeguards.
Artificial intelligence should be controlled by humans to prevent its weaponization and ensure safety measures are in place, according to Microsoft's president Brad Smith. He stressed the need for regulations and laws to govern AI, comparing it to other technologies that have required safety breaks and human oversight. Additionally, Smith emphasized that AI is a tool to assist humans, not to replace them, and that it can help individuals think more efficiently.
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.
The AI Stage agenda at TechCrunch Disrupt 2023 features discussions on topics such as AI valuations, ethical AI, AI in the cloud, AI-generated disinformation, robotics and self-driving cars, AI in movies and games, generative text AI, and real-world case studies of AI-powered industries.
The UK government has been urged to introduce new legislation to regulate artificial intelligence (AI) in order to keep up with the European Union (EU) and the United States, as the EU advances with the AI Act and US policymakers publish frameworks for AI regulations. The government's current regulatory approach risks lagging behind the fast pace of AI development, according to a report by the science, innovation, and technology committee. The report highlights 12 governance challenges, including bias in AI systems and the production of deepfake material, that need to be addressed in order to guide the upcoming global AI safety summit at Bletchley Park.
“A Recent Entrance to Paradise” 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.
"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.
Artificial intelligence regulation varies across countries, with Brazil focusing on user rights and risk assessments, China emphasizing "true and accurate" content generation, the EU categorizing AI into three risk levels, Israel promoting responsible innovation and self-regulation, Italy allocating funds for worker support, Japan adopting a wait-and-see approach, and the UAE prioritizing AI development and integration.
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.
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.
The rapid advancement of AI technology poses significant challenges for democratic societies, including the need for nuanced debates, public engagement, and ethical considerations in regulating AI to mitigate unintended consequences.
Mustafa Suleyman, CEO of Inflection AI, argues that restricting the sale of AI technologies and appointing a cabinet-level regulator are necessary steps to combat the negative effects of artificial intelligence and prevent misuse.
The market for foundation models in artificial intelligence (AI) exhibits a tendency towards market concentration, which raises concerns about competition policy and potential monopolies, but also allows for better internalization of safety risks; regulators should adopt a two-pronged strategy to ensure contestability and regulation of producers to maintain competition and protect users.
Generative AI's "poison pill" of derivatives poses a cloud of uncertainty over legal issues like IP ownership and copyright, as the lack of precedents and regulations for data derivatives become more prevalent with open source large language models (LLMs). This creates risks for enterprise technology leaders who must navigate the scope of claims and potential harms caused by LLMs.
Countries around the world, including Australia, China, the European Union, France, G7 nations, Ireland, Israel, Italy, Japan, Spain, the UK, the UN, and the US, are taking various steps to regulate artificial intelligence (AI) technologies and address concerns related to privacy, security, competition, and governance.
AI has the potential to fundamentally change governments and society, with AI-powered companies and individuals usurping traditional institutions and creating a new world order, warns economist Samuel Hammond. Traditional governments may struggle to regulate AI and keep pace with its advancements, potentially leading to a loss of global power for these governments.
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.
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.
Eight new technology companies, including Adobe, IBM, Nvidia, Palantir, and Salesforce, have made voluntary commitments on artificial intelligence (AI) to drive safe and secure development while working towards comprehensive regulation, according to a senior Biden administration official. The commitments include outside testing of AI systems, cybersecurity measures, information sharing, research on societal risks, and addressing society's challenges. The White House is partnering with the private sector to harness the benefits of AI while managing the risks.
Tech leaders gathered in Washington, DC, to discuss AI regulation and endorsed the need for laws governing generative AI technology, although there was little consensus on the specifics of those regulations.
Venture capitalist Bill Gurley warns about the dangers of regulatory capture and its impact on innovation, particularly in the field of artificial intelligence, and highlights the importance of open innovation and the potential harm of closed-source models.
A bipartisan group of senators is expected to introduce legislation to create a government agency to regulate AI and require AI models to obtain a license before deployment, a move that some leading technology companies have supported; however, critics argue that licensing regimes and a new AI regulator could hinder innovation and concentrate power among existing players, similar to the undesirable economic consequences seen in Europe.
The geography of AI, particularly the distribution of compute power and data centers, is becoming increasingly important in global economic and geopolitical competition, raising concerns about issues such as data privacy, national security, and the dominance of tech giants like Amazon. Policy interventions and accountability for AI models are being urged to address the potential harms and issues associated with rapid technological advancements. The UK's Competition and Markets Authority has also warned about the risks of industry consolidation and the potential harm to consumers if a few firms gain market power in the AI sector.
Governments worldwide are grappling with the challenge of regulating artificial intelligence (AI) technologies, as countries like Australia, Britain, China, the European Union, France, G7 nations, Ireland, Israel, Italy, Japan, Spain, the United Nations, and the United States take steps to establish regulations and guidelines for AI usage.
A new poll reveals that 63% of American voters believe regulation should actively prevent the development of superintelligent AI, challenging the assumption that artificial general intelligence (AGI) should exist. The public is increasingly questioning the potential risks and costs associated with AGI, highlighting the need for democratic input and oversight in the development of transformative technologies.
China's new artificial intelligence (AI) rules, which are among the strictest in the world, have been watered down and are not being strictly enforced, potentially impacting the country's technological competition with the U.S. and influencing AI policy globally; if maximally enforced, the regulations could pose challenges for Chinese AI developers to comply with, while relaxed enforcement and regulatory leniency may still allow Chinese tech firms to remain competitive.
While many experts are concerned about the existential risks posed by AI, Mustafa Suleyman, cofounder of DeepMind, believes that the focus should be on more practical issues like regulation, privacy, bias, and online moderation. He is confident that governments can effectively regulate AI by applying successful frameworks from past technologies, although critics argue that current internet regulations are flawed and insufficiently hold big tech companies accountable. Suleyman emphasizes the importance of limiting AI's ability to improve itself and establishing clear boundaries and oversight to ensure enforceable laws. Several governments, including the European Union and China, are already working on AI regulations.
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 U.S. government must establish regulations and enforce standards to ensure the safety and security of artificial intelligence (AI) development, including requiring developers to demonstrate the safety of their systems before deployment, according to Anthony Aguirre, the executive director and secretary of the board at the Future of Life Institute.
