johnywrites.com

Category: AI/Computer/Human/HCI

  • Fundamental Limits on Artificial General Intelligence.

    This new work “How Organisms Come to Know the World: Fundamental Limits on Artificial General Intelligence(GI)”, co-authored by Andrea Roli, Johannes Jaeger and Stuart A. Kauffman, discusses several significant obstacles on this path of General Artificial Intelligence.

    They points out that general intelligence involves situational reasoning, taking perspectives, choosing goals, and an ability to deal with ambiguous information which basically involves the ability of identifying and exploiting new affordances on the path of an agent to achieve its goals.

    Problem is that it is impossible to predefine features and limitations of affordances in context. This makes it difficult to develop algorithmic solutions.

    Quote:

    “the prospective uses of an object (and hence the decomposition we choose to analyze it) depend on the goals of the agent using it, which, in turn, depend on the agent’s repertoire of actions and the affordances available to it, which change constantly and irreversibly over time. It is exactly because all of these are constantly evolving through their co-emergent dialectic interactions that the number of uses of an object remains indefinite and, in fact, unknowable “

    They also take a devastating dig into Bayesian and other sophisticated models

    Read further here

  • AI and Tomorrow’s Lawyers

    A great discussion on how artificial intelligence (AI) is or might be changing the legal world. Led by Professor Lyria Bennett Moses, panel talks about how AI is growing in law, what it can do for lawyers, and the good and bad sides of using AI.

  • Artificial Intelligence and Law(UTorontoLaw: Dessislav Dobrev)

    A Discussion on implication of AI in the practice and regulation of law

  • A.I. for Education(Sal Khan Playlist/ updated)

    Harnessing A.I. for Education(Sal Khan)

    How AI Could Save (Not Destroy) Education

    Sal Khan’s vision for the K-12 education evolution with AI

    AI & GPT-4 Revolutionize Education With Sal Khan | EP #35 Moonshots and Mindsets

    Khan Academy founder Sal Khan on AI and the future of education | ReThinking with Adam Grant

  • Role of Generative AI in Higher Education(video)

    Generative AI, like ChatGPT-3 from , has become really popular since its launch in November 2022. People have different opinions about how this will affect higher education. In this video moderated by Trine Jensen, experts from different places, like Chris Dede from Harvard, Frank Tsiwah from the University of Groningen, and Kate Thompson from Queensland University of Technology, talks about how Generative AI might change higher education.

  • AI and Higher Education: Implications, Challenges, and Opportunities(Prof. Teruo Fujii, Prof. Pascal Fung, Prof. Manu Kapur)

    The topic of AI and Higher Education: Implications, Challenges, and Opportunities by Prof. Teruo Fujii, Prof. Pascal Fung, Prof. Manu Kapur

  • Artificial Intelligence and the Future of Human Learning(UCLA Video)

    In the world of AI, there’s a constant question looming: what does it mean to be human? As AI continues to evolve at an alarming rate, mimicking and surpassing human abilities in various domains, experts are left grappling with the very essence of human intelligence.

    In this video, Dr. Hong Jing Liu, and Dr. James Stigler, embark on a great exploration of this intricate relationship between humans and AI.

  • Understanding Impacts of AI on the Legal Profession (Harvard)

    In their talk titled “AI’s Impact on Law,” David Malan and Doug Lloyd from Harvard examines the role of AI, using mostly ChatGPT as an example.

  • Opportunities and Risks of Generative AI for the Legal Profession(University of Ottawa)

    This conversation will delve into the opportunities and risks presented by ChatGPT and generative AI, especially within the legal sector. What essential knowledge should lawyers possess about this technology? How can it be effectively integrated into legal practice? Furthermore, what ethical considerations arise concerning lawyers’ obligation to maintain technological proficiency? Lastly, what are the potential impacts on access to justice, considering both the opportunities and risks inherent in these advancements

  • Fundamental Limits on Artificial General Intelligence.

    This new work “How Organisms Come to Know the World: Fundamental Limits on Artificial General Intelligence(GI)”, co-authored by Andrea Roli, Johannes Jaeger and Stuart A. Kauffman, discusses several significant obstacles on this path of General Artificial Intelligence.

    They points out that general intelligence involves situational reasoning, taking perspectives, choosing goals, and an ability to deal with ambiguous information which basically involves the ability of identifying and exploiting new affordances on the path of an agent to achieve its goals.

    Problem is that it is impossible to predefine features and limitations of affordances in context. This makes it difficult to develop algorithmic solutions.

    Quote:

    “the prospective uses of an object (and hence the decomposition we choose to analyze it) depend on the goals of the agent using it, which, in turn, depend on the agent’s repertoire of actions and the affordances available to it, which change constantly and irreversibly over time. It is exactly because all of these are constantly evolving through their co-emergent dialectic interactions that the number of uses of an object remains indefinite and, in fact, unknowable “

    They also take a devastating dig into Bayesian and other sophisticated models

    Read further here