We apologize for the delay. This week we have more articles on AI regulation and challenges. A survey conducted at the Yale CEO Summit found that 42% of CEOs believe AI could threaten humanity. OpenAI's CEO, Sam Altman, has appealed for regulations on AI, and the European Parliament has passed a draft law known as the A.I. Act. The use of generative AI in art has raised questions about ownership and authorship, and some California college professors are encouraging its limited use in classroom assignments despite concerns about cheating. Scroll down and explore.
Events & Activities:
GAIN – Generative AI Insights (Generative AI Conference) - We are now having more experts and educators share their insights with us. Learn more from our Conference page.
News and Interviews:
Exclusive: 42% of CEOs Say AI Could Destroy Humanity in Five to Ten Years - 42% of 119 CEOs who participated in a survey at the Yale CEO Summit are concerned that artificial intelligence (AI) could threaten humanity in the next five to ten years. The study also found that 34% of them believe AI could be destructive to civilization in ten years, while 8% think it could happen in five years. However, 58% of the respondents said they are not worried about the threat.
OpenAI CEO Sam Altman Asks Congress to Regulate AI - OpenAI's CEO Sam Altman appealed for regulations on artificial intelligence (AI) in order to avoid causing "significant harm to the world." Altman, along with two other AI experts, Gary Marcus and Christina Montgomery, advocated for governance of AI at global levels, which included the creation of a federal agency that can grant licenses to create AI models above a certain level of capabilities, safety standards for high-capability AI models, and independent audits from experts unaffiliated with the creators or the government.
Europeans Take a Major Step Toward Regulating AI - The European Parliament has passed a draft law known as the A.I. Act, which would severely curtail the riskiest uses of artificial intelligence (AI). The A.I. Act would require makers of A.I. systems to disclose more about the data used to create their programs and severely curtail the use of facial recognition software.
Articles & Blogs:
Generative AI Is a Minefield for Copyright Law – The use of generative artificial intelligence (AI) in art has raised questions about ownership and authorship. Generative AI is trained on prior artworks, raising concerns over compensation for the artists whose work was used.
California Professor Test out AI in the Classroom, Even as Cheating Debate Continues - Despite concerns about students using generative AI to cheat in class, some California college professors are encouraging its limited use in classroom assignments. While some professors crack down on cheaters, a growing number have decided that the technology is here to stay and are assigning work that seeks to convey the benefits of AI to students.
Personalized Education is not a Panacea. Neither is Artificial Intelligence – While AI technology can transform education, there are downsides to personalized learning that AI can accelerate, according to an article in EdSurge. Personalization makes learning easier, but people often learn best when faced with a difficult challenge, and effective education is driven by surprise and challenges.
If AI is to Become a Key Tool in Education, Access Has to Be Equal - The rise of chatbots, such as OpenAI's ChatGPT and Google's Bard, could improve the accessibility and individualisation of learning, but may also deepen the digital divide caused by the pandemic. Chatbots can help with research, writing, and critical thinking while promoting self-directed learning and autonomy. However, students without reliable internet access may not have access to these digital tools.
Understanding the Key Machine Learning Terms for AI - Quick guide for a basic understanding of machine learning terms that working professionals should know.
The Real Challenge of AI - The article explores the competing views and potential risks of AI, including its potential to exacerbate existing challenges such as disinformation and cyber threats.
Open Source AI and the Challenges ahead – The author predicts that corporations and governments will increasingly limit access to novel neural network architectures and techniques in the coming years. They envision a future where personalized AI entities, or "Ghosts," will perform many services for individuals and organizations.
Disclaimer: AI in Education has no affiliation with any highlighted free or commercial products in this section.
Practical Deep Learning for Coders – A free course designed for those with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. The course covers topics such as building and training deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering problems.
Gen-2 – Free demo for trying out text-to-video, which is likely to blow your mind and redefine video production.
ChatPDF – ChatPDF helps students and professionals analyze documents efficiently, allowing users to comprehend textbooks, handouts, presentations, research papers, and academic articles effortlessly.
Disclaimer: The views and opinions expressed in the linked posts are those of the speakers and or their entities and do not necessarily reflect the views or positions of the project AI in Education, Centre for Learning Enhancement And Research, and The Chinese University of Hong Kong.