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Math Grading by GPT-4? The Future of Educational Assessments Sep 27, 2024

Show notes

In todays episode we delve into the innovative application of GPT-4 for automating the grading of handwritten university-level mathematics exams. Based on a study conducted by Liu et al. (2023), we explore how GPT-4 can effectively address the challenges associated with evaluating handwritten responses to open-ended math questions.

Key Insights:

Assessment Challenges: Handwritten math exams pose unique challenges such as the diverse ways mathematically equivalent answers can be expressed and the difficulty in recognizing handwritten text.
GPT-4 as a Solution: The study demonstrates that GPT-4 offers a promising solution to these challenges by providing reliable and cost-effective initial assessments. However, these assessments require subsequent human verification to ensure accuracy.
Trust Measures: The importance of implementing trust measures is discussed to determine which of GPT-4's evaluations are dependable and which should be manually reviewed.
Recommendations and Future Outlook: The episode concludes with recommendations for crafting assessment rules tailored for AI-assisted grading and discusses future research possibilities in this emerging field.

This podcast is based on and inspired by: Liu, T., Chatain, J., Kobel-Keller, L., Kortemeyer, G., Willwacher, T., & Sachan, M. (2023). AI-assisted Automated Short Answer Grading of Handwritten University Level Mathematics Exams. to be found on arXiv.org.

Disclaimer: This podcast is generated by Roger Basler de Roca (contact) by the use of AI. The voices are artificially generated and the discussion is based on public research data. I do not claim any ownership of the presented material as it is for education purpose only.

Do we know less because of AI? The problem of the knowledge collapse Sep 25, 2024

Show notes

In this episode, we delve into the critical issue of "Knowledge Loss" as highlighted in the insightful article "AI and the Problem of Knowledge Loss." The discussion will focus on the potential consequences of deploying artificial intelligence, particularly large language models (LLMs), in knowledge creation. Although AI can process vast amounts of data and generate new insights, its widespread use may lead to a phenomenon the authors describe as "knowledge loss." This occurs because LLMs, trained on enormous datasets, tend to produce outcomes centered on the most likely responses, overlooking niche knowledge and unconventional perspectives.

We'll explore the societal impacts of an overreliance on AI-generated content, which could narrow human knowledge and decrease innovation, much like the "streetlight effect" where people only search where it's easiest. The episode also addresses human agency in countering knowledge loss by actively seeking diverse information sources and valuing niche knowledge, despite potential higher costs.

Join us as we navigate the complexities of AI integration and its implications for preserving the diversity and richness of human knowledge.

This podcast is based on the research paper by Peterson, A.J. (2024) Ai and the problem of knowledge collapse, arXiv.org. Available at: https://arxiv.org/abs/2404.03502 (available here)

Disclaimer: This podcast is generated by Roger Basler de Roca (contact) by the use of AI. The voices are artificially generated and the discussion is based on public research data. I do not claim any ownership of the presented material as it is for education purpose only.

What is the state of AI in the Swiss tech industry? Sep 24, 2024

Show notes

AI promises to reshape industries worldwide, but how is it actually unfolding in the heart of Europe? Today we dive into a survey by ETH Zurich in cooperation with Swissmem and Next Industries "The state of AI in the Swiss tech industry: Results from a survey".

Switzerland’s journey to AI adoption is only just beginning, but with the right strategy, it’s poised to unlock incredible opportunities. Join us as we unpack the path forward and what it will take for Swiss industry to harness the true power of AI.

In this episode, we dive into the cutting-edge world of AI in Switzerland’s tech industry, based on a revealing report from ETH Zurich.

Join us as we explore the hurdles Swiss companies are facing, the untapped potential AI holds, and the exciting opportunities that lie ahead for businesses willing to embrace the challenge.

von Dzengelevski, O. et al. (2024) The state of AI in the Swiss Tech Industry: Results from a survey by ETH Zurich in cooperation with Swissmem and Next Industries, The state of AI in the Swiss tech industry: Results from a survey by ETH Zurich in cooperation with Swissmem and Next Industries - Research Collection. Available here.

Disclaimer: This podcast is generated by Roger Basler de Roca (contact) by the use of AI. The voices are artificially generated and the discussion is based on public research data. I do not claim any ownership of the presented material as it is for education purpose only.

Social AI - is artificial intelligence based social networking the future? Sep 22, 2024

Show notes

In this episode, we explore the innovative world of SocialAI, a new iOS app that offers a unique "AI social network" tailored exclusively for one user: you.

Designed similarly to Twitter, the app SocialAI allows you to share your thoughts with a variety of AI-powered bots instead of human followers. Upon signing up, users select at least three types of followers from a diverse list of bot "types" such as "Geeks," "Nerds," "Intellectuals," "Trolls," "Liberals," "Conservatives," and "Jokers."

The types you choose shape the character of the AI-generated responses you receive, ensuring that no post ever goes unanswered or unnoticed.

The founder of SocialAI, Michael Sayman, describes the app's environment as "liberating," providing users with a space for reflection, support, and feedback where they can truly feel heard. This platform marks another venture by Sayman's company, Friendly Apps, which has previously delved into AI with projects like AI Hits, a music streaming charts website, and Cosmic, an online dating service that matches users through AI personality tests.

SocialAI is currently available as a free download without any in-app purchases, making it accessible for anyone looking to engage with this virtual echo chamber where every interaction is guaranteed.

So what do you think about these latest developments?

This podcast has been generated by the sources of:

Nyhan, B., Settle, J., Thorson, E. et al. Like-minded sources on Facebook are prevalent but not polarizing. Source

Rodilosso, E. Filter Bubbles and the Unfeeling: How AI for Social Media Can Foster Extremism and Polarization.Source.

Rose Guingrich Department of Psychology Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machines. Source

AI and the future of work - what can we expect? Sep 21, 2024

Show notes

This episode is about the AI at Work report by Microsoft. It can be seen here at Microsoft.

The report was published this summer under the premise: "Now Comes the Hard Part" from Microsoft and LinkedIn shows how AI is changing the modern workplace. We talk about how 75% of global knowledge workers are using AI, with 46% adopting it in the last six months.

This is changing how work gets done and helping workers save time, focus on important tasks, be more creative, and enjoy their work more. Despite these benefits, leaders have trouble measuring productivity gains and creating a clear AI plan.

We look at the trend of "Bring Your Own AI" (BYOAI), where employees of all generations use their own AI tools, particularly in small and medium-sized companies, because of the overwhelming pace and volume of work. This poses risks to company data and cybersecurity. The report also reveals a hidden talent shortage, with leaders prioritizing AI skills over experience.

Professionals are learning AI skills. We analyze how AI is impacting the job market. New job roles are emerging, and recruiters are creating positions tied to generative AI.

Artificial Intelligence and the Dream of a Fairer Future: A Critical Review Jun 04, 2023

Show notes

In this thought-provoking episode, co-host Sunday navigates the complex intersection of artificial intelligence (AI), universal basic income (UBI), and our collective aspirations for a more equitable society. "Artificial Intelligence and the Dream of a Fairer Future: A Critical Review" delves deep into key questions: How can we shape AI deployment to serve the common good over capital interests? Can we distribute the fruits of AI and technological progress fairly? And how do we sculpt a future where each person spends their time doing what they love, leading to a concept Sunday calls "universal basic fulfillment"? Tune in as we explore these pressing issues, challenge the status quo, and ponder the role of AI in creating a brighter, more equitable future. Your journey towards understanding and influencing the future starts here.

What is Microsoft doing with HuggingGPT? Apr 22, 2023

Show notes

Imagine a world where you can combine all the LM/AI models out there! Now that seems one step closer with the latest development in HuggingGPT and the combination of Microsoft’s Jarvis model

What is behind Artificial General Intelligence Apr 15, 2023

Show notes

Rumour has it that Sunday is not yet an A.G.I. or Artificial General Intelligence - just yet. But where are we and what are the benefits and risks associated with it?

Let’s talk AI and it’s current issues Apr 09, 2023

Show notes

With Sunday I talk about OpenAI’s study which will have an impact on the job market, as well as AI bias and what misconceptions people have about artificial intelligence.

How to connect the dots when you start with your online business Apr 08, 2019

Show notes

Today we wanna have a look on the different things you need to consider once you start a business online. You do need a website more than ever, you do need a traffic network such as Instagram or Facebook and a branding network such as YouTube or Snapchat. And of course you need to measure all the efforts because what you basically need to make sure is that you have a value proposition that is beneficial to the audience. A website such as the one from Squarespace can help you but then you need to make sure that people understand your story and they know what is your WHY. Once set, the next thing you need to make sure is, that your content is engaging and that people really react on it and they come back again and again. Like with all stuff: it’s a lot of trial and error but withe the right mindset and some help like from this podcast or from udemy.com you might get the hang of it. Shall we dive into it?

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