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.
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.
Generative artificial intelligence (AI) technology is infiltrating higher education, undermining students' personal development of critical thinking skills and eroding the integrity of academic work, with educators struggling to combat its influence.
Generative AI tools are being misused by cybercriminals to drive a surge in cyberattacks, according to a report from Check Point Research, leading to an 8% spike in global cyberattacks in the second quarter of the year and making attackers more productive.
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.
AI Algorithms Battle Russian Disinformation Campaigns on Social Media
A mysterious individual known as Nea Paw has developed an AI-powered project called CounterCloud to combat mass-produced AI disinformation. In response to tweets from Russian media outlets and the Chinese embassy that criticized the US, CounterCloud produced tweets, articles, and even journalists and news sites that were entirely generated by AI algorithms. Paw believes that the project highlights the danger of easily accessible generative AI tools being used for state-backed propaganda. While some argue that educating users about manipulative AI-generated content or equipping browsers with AI-detection tools could mitigate the issue, Paw believes that these solutions are not effective or elegant. Disinformation researchers have long warned about the potential of AI language models being used for personalized propaganda campaigns and influencing social media users. Evidence of AI-powered disinformation campaigns has already emerged, with academic researchers uncovering a botnet powered by AI language model ChatGPT. Legitimate political campaigns, such as the Republican National Committee, have also utilized AI-generated content, including fake images. AI-generated text can still be fairly generic, but with human finesse, it becomes highly effective and difficult to detect using automated filters. OpenAI has expressed concern about its technology being utilized to create tailored automated disinformation at a large scale, and while it has updated its policies to restrict political usage, it remains a challenge to block the generation of such material effectively. As AI tools become increasingly accessible, society must become aware of their presence in politics and protect against their misuse.
Deceptive generative AI-based political ads are becoming a growing concern, making it easier to sell lies and increasing the need for news organizations to understand and report on these ads.
AI-powered tools like ChatGPT often produce inaccurate information, referred to as "hallucinations," due to their training to generate plausible-sounding answers without knowledge of truth. Companies are working on solutions, but the problem remains complex and could limit the use of AI tools in areas where factual information is crucial.
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.
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.
AI technology is making it easier and cheaper to produce mass-scale propaganda campaigns and disinformation, using generative AI tools to create convincing articles, tweets, and even journalist profiles, raising concerns about the spread of AI-powered fake content and the need for mitigation strategies.
Generative artificial intelligence (AI) tools, such as ChatGPT, have the potential to supercharge disinformation campaigns in the 2024 elections, increasing the quantity, quality, and personalization of false information distributed to voters, but there are limitations to their effectiveness and platforms are working to mitigate the risks.
Artificial intelligence will play a significant role in the 2024 elections, making the production of disinformation easier but ultimately having less impact than anticipated, while paranoid nationalism corrupts global politics by scaremongering and abusing power.
AI-generated deepfakes have the potential to manipulate elections, but research suggests that the polarized state of American politics may actually inoculate voters against misinformation regardless of its source.
"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.
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 decision of The Guardian to prevent OpenAI from using its content for training ChatGPT is criticized for potentially limiting the quality and integrity of information used by generative AI models.
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.
Chinese operatives have used AI-generated images to spread disinformation and provoke discussion on divisive political issues in the US as the 2024 election approaches, according to Microsoft analysts, raising concerns about the potential for foreign interference in US elections.
Generative AI is primarily used by younger generations, with 65% of users being Millennials or Gen Z, while older generations are less engaged due to lack of understanding and concerns about safety and education.
AI on social media platforms, both as a tool for manipulation and for detection, is seen as a potential threat to voter sentiment in the upcoming US presidential elections, with China-affiliated actors leveraging AI-generated visual media to emphasize politically divisive topics, while companies like Accrete AI are employing AI to detect and predict disinformation threats in real-time.
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.
Artificial intelligence (AI) poses a high risk to the integrity of the election process, as evidenced by the use of AI-generated content in politics today, and there is a need for stronger content moderation policies and proactive measures to combat the use of AI in coordinated disinformation campaigns.
China is employing artificial intelligence to manipulate American voters through the dissemination of AI-generated visuals and content, according to a report by Microsoft.
Researchers have admitted to using a chatbot to help draft an article, leading to the retraction of the paper and raising concerns about the infiltration of generative AI in academia.
Some schools are blocking the use of generative artificial intelligence in education, despite claims that it will revolutionize the field, as concerns about cheating and accuracy arise.
With the rise of AI-generated "Deep Fakes," there is a clear and present danger of these manipulated videos and photos being used to deceive voters in the upcoming elections, making it crucial to combat this disinformation for the sake of election integrity and national security.
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.
More than half of Americans believe that misinformation spread by artificial intelligence (AI) will impact the outcome of the 2024 presidential election, with supporters of both former President Trump and President Biden expressing concerns about the influence of AI on election results.
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 models that "hallucinate" or provide fictional answers to users are seen as a feature rather than a flaw, according to OpenAI CEO Sam Altman, as they offer a different perspective and novel ways of presenting information.
A surge in AI-generated child sexual abuse material (CSAM) circulating online has been observed by the Internet Watch Foundation (IWF), raising concerns about the ability to identify and protect real children in need. Efforts are being made by law enforcement and policymakers to address the growing issue of deepfake content created using generative AI platforms, including the introduction of legislation in the US to prevent the use of deceptive AI in elections.
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.
Salesforce CEO Marc Benioff warns about the dangers of generative AI while promoting the company's AI products at the annual Dreamforce conference.
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.
AI-generated content is becoming increasingly prevalent in political campaigns and poses a significant threat to democratic processes as it can be used to spread misinformation and disinformation to manipulate voters.
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.
