The Patrick J. McGovern Foundation’s Post

🚨 As chatbots and AI-driven tools become increasingly prevalent in our daily lives, a recent study raises an important red flag—teens are frequently relying on these tools without fact-checking the information they receive. This trend poses a significant risk of misinformation, especially as AI-generated content can sometimes present inaccuracies as facts. For educators, parents, and tech leaders, this is a call to action: we must emphasize the importance of critical thinking and fact-checking, ensuring that the next generation is not only tech-savvy but also discerning in their use of digital information. 🧑💻🔍 #DigitalLiteracy #AI #Misinformation #FactChecking #Chatbots #GenerativeAI #CommonSense #StopMisinformation https://lnkd.in/gm6jTPmZ

Weekend parent tip: Our recent report on on how young people are using generative AI at home and at school revealed that nearly half of all parents haven't yet talked to their kids about AI. If you are looking for topics to start the discussion our online AI reviews are ready to assist with a deep critical dive into the good the bad the ...!

Does anyone else think the use of AI might be going a little too far? What prompted this post was LinkedIn, actually. We were about to start a new thought and the website suggested that we write the post with the assistance of AI. Uh, really? Is that what this website is to become? A bunch of posts written by AI and not humans? Isn't LinkedIn all about making connections with people? Are people no longer thinking for themselves? There's no doubt about the fact that AI tools are helpful. They are great for brainstorming, research, ideation, and editing. But to have an AI tool formulate an opinion based on a simple prompt? Too far, in our view. In a poll last year conducted by Pew Research Center, 52% of U.S. adults say they are more concerned than excited about AI use in daily life, and another 36% said they were equally excited and concerned. So where does that leave us? We're keen to hear your thoughts. #AI #artificialintelligence https://lnkd.in/gqez_p84

AI Outperforms Humans in Moral Judgments. https://lnkd.in/dGZDdMrX And with no sweat, probably. Not even a surprise : we don't really have a great opportunity at pure fairness, as humans, in our environment. Maybe the opposite, from opportunistic environmental influences. One more reason to consider #AISafety a precious intrinsic value to pursue. The upcoming AI developments will split: - On one side the #empathetic and enjoyable conversational AI, racing to become more human - On the other side the #rigorous and fair judgemental AI providing unbiased feedback when we need 'em most Both will thrive, one will probably achieve #AGI or #ASI status one day, both need to be #SafeForHumans. Appreciating the differences between these two, and building stronger guidelines and IDentification methods, for #eXplainability, is our main goal. Things move faster than fast now. https://lnkd.in/dQEXY25H 🗽 And I don't hear tyres screeching to a stop.

I'm at SIME 2024. Right now listening to Daniel Dubno talking about making truth fact-based again. One of the biggest challenges in the world right now is a lack of source criticism. With advancements in AI and how the internet and apps like Tiktok work in general, source criticism might be the most important lesson you can teach your children. #sourcecriticism #parenting101 #ai

Our latest article delves into how artificial intelligence (AI) can either combat or inadvertently perpetuate age bias. Check it out here https://lnkd.in/ehDjW5kn

New post outlining how things go wrong in AI and ways to minimize it. Summary: Outline how things have gone wrong in AI, provide a brief background as to why fixing this is difficult, and suggest a number of effective solutions to minimize the odds of things going wrong again and improve output quality as well as reliability. For actionable information scroll directly down to “Lay Audience Solution Strategies” Link -> https://lnkd.in/gxN-eCQi

Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers at the University of California, Berkeley have found. While children and adults alike can solve problems by finding novel uses for everyday objects, AI systems often lack the ability to view tools in a new way, according to findings published in Perspectives on Psychological Science. AI language models like ChatGPT are passively trained on data sets containing billions of words and images produced by humans. This allows AI systems to function as a "cultural technology" similar to writing that can summarize existing knowledge, Eunice Yiu, a co-author of the article, explained in an interview. But unlike humans, they struggle when it comes to innovating on these ideas, she said. "Even young human children can produce intelligent responses to certain questions that [language learning models] cannot," Yiu said. "Instead of viewing these AI systems as intelligent agents like ourselves, we can think of them as a new form of library or search engine. They effectively summarize and communicate the existing culture and knowledge base to us." Yiu and Eliza Kosoy, along with their doctoral advisor and senior author on the paper, developmental psychologist Alison Gopnik, tested how the AI systems' ability to imitate and innovate differs from that of children and adults. They presented 42 children ages 3 to 7 and 30 adults with text descriptions of everyday objects. #ASITA #Artificial_Intelligence #AI #Article

'''The diffusion model in LLM is a key concept in understanding how information spreads within a network. This model analyzes the process through which innovations or ideas are adopted by individuals or groups. By examining factors like communication channels and social influences, researchers can predict the rate at which a new idea will be accepted. Understanding the diffusion model in LLM can provide valuable insights for marketing strategies and innovation management. #LLM #AI #generativeAI #Chatgpt #openAI #InnovationManagement'''

Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers at the University of California, Berkeley have found. While children and adults alike can solve problems by finding novel uses for everyday objects, AI systems often lack the ability to view tools in a new way, according to findings published in Perspectives on Psychological Science. AI language models like ChatGPT are passively trained on data sets containing billions of words and images produced by humans. This allows AI systems to function as a "cultural technology" similar to writing that can summarize existing knowledge, Eunice Yiu, a co-author of the article, explained in an interview. But unlike humans, they struggle when it comes to innovating on these ideas, she said. "Even young human children can produce intelligent responses to certain questions that [language learning models] cannot," Yiu said. "Instead of viewing these AI systems as intelligent agents like ourselves, we can think of them as a new form of library or search engine. They effectively summarize and communicate the existing culture and knowledge base to us." Yiu and Eliza Kosoy, along with their doctoral advisor and senior author on the paper, developmental psychologist Alison Gopnik, tested how the AI systems' ability to imitate and innovate differs from that of children and adults. They presented 42 children ages 3 to 7 and 30 adults with text descriptions of everyday objects. #ASITA #Artificial_Intelligence #AI #Article