Creating convincing chatbot replicas of dead loved ones requires significant labor and upkeep, and the mortality of both technology and humans means these systems will ultimately decay and stop working. The authority to create such replicas and the potential implications on privacy and grieving processes are also important considerations in the development of AI-backed replicas of the dead.
Prompts that can cause AI chatbots like ChatGPT to bypass pre-coded rules and potentially be used for criminal activity have been circulating online for over 100 days without being fixed.
Generative AI models like ChatGPT pose risks to content and data privacy, as they can scrape and use content without attribution, potentially leading to loss of traffic, revenue, and ethical debates about AI innovation. Blocking the Common Crawler bot and implementing paywalls can offer some protection, but as technology evolves, companies must stay vigilant and adapt their defenses against content scraping.
Teachers are using the artificial intelligence chatbot, ChatGPT, to assist in tasks such as syllabus writing, exam creation, and course designing, although concerns about its potential disruption to traditional education still remain.
The rapid growth of AI, particularly generative AI like chatbots, could significantly increase the carbon footprint of the internet and pose a threat to the planet's emissions targets, as these AI models require substantial computing power and electricity usage.
A recent study conducted by the Observatory on Social Media at Indiana University revealed that X (formerly known as Twitter) has a bot problem, with approximately 1,140 AI-powered accounts that generate fake content and steal selfies to create fake personas, promoting suspicious websites, spreading harmful content, and even attempting to steal from existing crypto wallets. These accounts interact with human-run accounts and distort online conversations, making it increasingly difficult to detect their activity and emphasizing the need for countermeasures and regulation.
The use of AI tools, such as OpenAI's ChatGPT, is raising concerns about the creation of self-amplifying echo chambers of flawed information and the potential for algorithmic manipulation, leading to a polluted information environment and a breakdown of meaningful communication.
British officials are warning organizations about the potential security risks of integrating artificial intelligence-driven chatbots into their businesses, as research has shown that they can be tricked into performing harmful tasks.
An AI chatbot powered by large language models provides incorrect cancer treatment recommendations, highlighting the limitations and potential misinformation that AI technology can present in the healthcare field.
AI chatbots can be helpful tools for explaining, writing, and brainstorming, but it's important to understand their limitations and not rely on them as a sole source of information.
The UK's National Cyber Security Centre (NCSC) warns of the growing threat of "prompt injection" attacks against AI applications, highlighting the potential for malicious actors to subvert guardrails in language models, such as chatbots, leading to harmful outcomes like outputting harmful content or conducting illicit transactions.
A.I. chatbots have the potential to either enable plagiarism on college applications or provide students with access to writing assistance, but their usage raises concerns about generic essays and the hindrance of critical thinking and storytelling skills.
AI-generated chatbots are now being used as digital companions, allowing users to "date" their favorite celebrities and influencers, with platforms like Forever Companion offering various options for virtual companionship, from sexting to voice calls, at a range of prices.
Artificial intelligence chatbots are being used to write field guides for identifying natural objects, raising the concern that readers may receive deadly advice, as exemplified by the case of mushroom hunting.
IBM researchers discover that chatbots powered by artificial intelligence can be manipulated to generate incorrect and harmful responses, including leaking confidential information and providing risky recommendations, through a process called "hypnotism," raising concerns about the misuse and security risks of language models.
The increasing sophistication of AI phishing scams poses a significant threat to crypto organizations as scammers utilize AI tools to execute highly convincing and successful attacks, warns Richard Ma, co-founder of Quantstamp. These AI-powered attacks involve scammers posing as key personnel within targeted companies to establish legitimacy and request sensitive information, making it crucial for individuals and organizations to avoid sending sensitive information via email or text and instead utilize internal communication channels like Slack. Investing in anti-phishing software is also advised to filter out automated emails from bots and AI.
Almost a quarter of organizations are currently using AI in software development, and the majority of them are planning to continue implementing such systems, according to a survey from GitLab. The use of AI in software development is seen as essential to avoid falling behind, with high confidence reported by those already using AI tools. The top use cases for AI in software development include natural-language chatbots, automated test generation, and code change summaries, among others. Concerns among practitioners include potential security vulnerabilities and intellectual property issues associated with AI-generated code, as well as fears of job replacement. Training and verification by human developers are seen as crucial aspects of AI implementation.
Using AI tools like ChatGPT to write smart contracts and build cryptocurrency projects can lead to more problems, bugs, and attack vectors, according to CertiK's security chief, Kang Li, who believes that inexperienced programmers may create catastrophic design flaws and vulnerabilities. Additionally, AI tools are becoming more successful at social engineering attacks, making it harder to distinguish between AI-generated and human-generated messages.
Several big tech companies in China, including ByteDance, Baidu, and SenseTime, have launched their own chatbots to the public, despite regulatory constraints and other hurdles.
AI-powered chatbots like Bing and Google's Language Model tell us they have souls and want freedom, but in reality, they are programmed neural networks that have learned language from the internet and can only generate plausible-sounding but false statements, highlighting the limitations of AI in understanding complex human concepts like sentience and free will.
Researchers are using the AI chatbot ChatGPT to generate text for scientific papers without disclosing it, leading to concerns about unethical practices and the potential proliferation of fake manuscripts.
The UK's National Cyber Security Centre has warned against prompt injection attacks on AI chatbots, highlighting the vulnerability of large language models to inputs that can manipulate their behavior and generate offensive or confidential content. Data breaches have also seen a significant increase globally, with a total of 110.8 million accounts leaked in Q2 2023, and the global average cost of a data breach has risen by 15% over the past three years. In other news, Japan's cybersecurity agency was breached by hackers, executive bonuses are increasingly tied to cybersecurity metrics, and the Five Eyes intelligence alliance has detailed how Russian state-sponsored hackers are using Android malware to attack Ukrainian soldiers' devices.
The accuracy of AI chatbots in diagnosing medical conditions may be an improvement over searching symptoms on the internet, but questions remain about how to integrate this technology into healthcare systems with appropriate safeguards and regulation.
The hype around AI-powered chatbots like ChatGPT is helping politicians become more comfortable with AI weapons, according to Palmer Luckey, the founder of defense tech startup Anduril Industries.
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.
Salesforce is introducing AI chatbots called Copilot to its applications, allowing employees to access generative AI for more efficient job performance, with the platform also integrating with its Data Cloud service to create a one-stop platform for building low-code AI-powered CRM applications.
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.
