How can generative speech AI help early years education?

16

October

2023

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Early years education, namely children in pre-school from 2 to 6 years of age, have not yet been explored fully how they can benefit from the generative AI revolution. However, studies have shown that Generative AI can have a big and positive impact on the development of the child. As Kanders & Stupple-Harris (2023) have shown that moderated Generative AI tools can have a positive impact on speech language development for example, where the generative ai can answer questions which a child might ask. In this blogpost I will explore how ChatGPT and ElevenLabs can facilitate the language development for early-years education. These are not replacing human educators, but rather help human educators bring out the best in early-education (World Economic Forum, 2023).

As language is crucial for the cognitive development of communication, advanced thinking and problem-solving skills, generative AI can play the role of engaging early education children to boost their curiosity and imagination. Generative AI can then help in understanding complex sentences and logical reasoning, which may be helpful in their future education. However, as ChatGPT is built on data from the internet, the users and developers have to be careful with ethical consideration, especially about what the AI responds to the children, as the effects, if not properly managed, can have negative consequences, due to their answers. Strict data-handling policies can help mitigate the risks.

Firms that apply these two technologies can benefit from partnerships with early education schools, as they could sell their software to schools with a one-time licensing fee or a freemium model, which could generate income for these firms, as schools are always looking for innovative forms of teaching which can be beneficial for the development of children. Furthermore, these technologies can personalize the learning journey for each child, which can not only benefit the laggers in education, but also those that are ahead, not anymore relying on one-size fits all education.

Karlis, K., & Stupple-Harris, L. (2023). How might the early-years sector use generative AI? Nesta. https://www.nesta.org.uk/project-updates/how-might-the-early-years-sector-use-generative-ai/#:~:text=Generative%20AI%20could%20support%2C%20for

World Economic Forum. (2023, August 23). How will generative AI affect children? The need for answers has never been more urgent. The European Sting – Critical News & Insights on European Politics, Economy, Foreign Affairs, Business & Technology – Europeansting.com; The European Sting – Critical News & Insights on European Politics, Economy, Foreign Affairs, Business & Technology – europeansting.com.

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Generative AI, the end of software developers?

14

September

2023

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One of the most fascinating but also on the other hand most difficult part of software engineering is the programming of the software, app or program. This is where most of the expertise is needed and is the most vital step. It often takes quite some time to acquire the skills of programming and also once learned, one of the most challenging steps is debugging the code. This is where ChatGPT and other generative AI algorithms can help. At this moment, ChatGPT can solve simple to medium tasks efficiently, however, struggles when problems become more complex (Nascimento et al., 2023).

Talking from personal experience, I was always quite fond and interested in programming, however very often struggled getting the right code and implementing a bug free code, however, since I have discovered ChatGPT early 2023, this part has simplified my experience with coding and has led to the improvement of not only coding, but also debugging and providing documentation. ChatGPT is in my opinion nowadays indispensable in software development and engineering, as it can free up resources, which would have otherwise not been used efficiently. ChatGPT has revolutionized the way we create software.

Personally, I did also have experience with ChatGPT, especially the plug-in Noteable, where I could let ChatGPT create an algorithmic trading application, that gave the user notifications if there were buy or sell signs. Even though the algorithm was relatively simple and did not use high complex mathematical or logical formulas, it could, nevertheless, show what the capabilities of such a tool on the financial or fintech world could set upon in the future, where even more datapoints are connected. However, when looking and utilizing code, many underestimate the bias the code could entail. This has be viewed as a concern for ethical reasons (Hörnemalm et al., 2023).

Nevertheless, considering what the future holds, I don’t think that there is a replacement for software developers happening, as the problem solving and critical thinking processes cannot be replicated until these technologies reach the Turing test. This then leads to the question whether software developers in the future, also after the Turing test completion, are a thing of the past?

Hörnemalm, A., Norberg, O., & Mejtoft, T. (2023). ChatGPT as a Software Development Tool The Future of Development. https://www.diva-portal.org/smash/get/diva2:1768339/FULLTEXT01.pdf

Nascimento, N., Cheriton, D., Alencar, P., & Cowan, D. (2023). COMPARING SOFTWARE DEVELOPERS WITH CHATGPT: AN EMPIRICAL INVESTIGATION A PREPRINT. https://arxiv.org/pdf/2305.11837.pdf

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