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Since last year, I have delved deeper into the capabilities of ChatGPT. This has left me astounded by its linguistic ability. My interest in AI has been piqued, and I have shifted my focus to Dall-E, an AI tool that creates visual images from textual descriptions. It feels like painting, but coded algorithms are the brushstrokes of creating the painting.

In our information strategy lectures, we have highlighted the important role visuals play in the real world. This has prompted me to challenge the open AI Dall-E: “Create a city of the future where buildings pulsate with digital code and clouds hum with musical notes.” Because I could not see the output, I had to rely on Dall-E’s description: an imagined metropolis with towering structures shimmering with binary sequences and clouds resonating with the cadence of melodies. This could be a testament to how digitalization will shape our environment in the future.

My intentions for this experiment weren’t merely about an AI creating images. I have questioned about the intersections of technology, art, and human ingenuity. Dall-E stands as a beacon for what is possible in design and creativity in the future. Yet, I can’t stop thinking if tools like Dall-E will redefine the essence of design professions. As creative AI is involved, where does human creativity fit in the future?

In this innovative era, we’re at the brink of an AI-powered revolution. Engaging with AI tools like Dall-E makes it possible to actively shape the discourse and ensure a harmonious balance of machine efficiency and human creativity, as the boundary between human and machine creativity blurs. We are tasked to navigate this evolving landscape. 

No ratings yet. Since Chatgpt and other AI tools were created, I have been really excited to explore the potential of these generative AI tools. I have tried experimenting a lot with a variety of AI tools like text-to-text, text-to-image, and even text-to-video. These tools made my life easier because they helped me with my daily tasks, like helping me with assignments by correcting grammar and rephrasing text in a better way, finding and explaining perplexing questions, or helping me with planning my vacation. I believe that AI tools have not only made my life more efficient, but they have also improved the quality of my work. It does not only help you with daily tasks, but it can also help you learn new things. The AI platform helped me by finding errors, giving me detailed solutions, and giving me a detailed explanation of the subject I did not understand. I feel like it made my learning experience way better.

However, besides all the positive sides of using AI tools, I feel like these tools also have a downside. There is a risk that people will become overdependent on these AI tools (Ahmad et al., 2023). The use of these AI tools can lead to laziness because it’s tempting to save time and energy by letting AI do all of the work. Another downside is that AI can smother people’s creativity(Ahmad et al., 2023). Instead of coming up with their own ideas and thinking critically, people will find it easier to find ideas by asking AI tools.

I believe that AI tools have many advantages, but they can be seen as a double-edged sword if you look at both the advantages and disadvantages.

Do you think that AI tools foster growth, or do they potentially hamper personal development?”

I invite you to share your thoughts in the comments!

Ahmad, S. F., Han, H., Alam, M. M., Rehmat, M. K., Irshad, M., Arraño-Muñoz, M., & Ariza-Montes, A. (2023). Impact of artificial intelligence on human loss in decision making, laziness and safety in education. Humanities & Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-01787-8

No ratings yet. Since artificial intelligence (AI) has been introduced, it has intrigued me. This is why I continuously try to learn more about the possibilities of AI. In the first week of my Information Strategy course, we discussed in class the disruption of the public transport tickers, which was a shift from paper tickets to smart tickets, also known as OV chipcards. This discussion reminded me of my experience in China, where cameras were everywhere. In China, AI could recognise faces and be used for payments. This made me think: why can’t we implement AI in public transport globally?

Implementing facial recognition in public transport and train stations can improve the way we travel and the experience of traveling. Firstly, facial recognition can eliminate the need for gates. This is because faces can be used to pay for tickets, which allows an immediate deduction from our bank account. This will not only make the transaction go more smoothly but also stop people from trying to avoid paying fares(Shen et al., 2020). Besides the economic benefits, it can also make people feel more safe. This is because criminal intent can be immediately identified and easily found by police(Ruiz & Sawant, 2019).

The implementation of this AI does not come without challenges. There is a concern that needs to be addressed in terms of privacy, data security, and technology accuracy(Zeng, 2019). While there will be a lot of benefits to implementing AI in public transport, we should not forget about the challenges this technology brings with it.

In conclusion, there could be a lot of potential for AI in the public transportation industry. From smooth transactions to enhanced safety, the benefits are numerous. However, we should not forget about the challenges that AI brings. We should first address privacy and data security concerns; they are essential for the successful global implementation of this technology. The goal of implementing this technology is to create a more efficient and safer public transport system for all.

Sources:
Ruiz, D. R., & Sawant, A. (2019). Quantitative Analysis Of Crime Incidents In Chicago Using Data Analytics Techniques. Computers, Materials & Continua, 59(2), 389–396. https://doi.org/10.32604/cmc.2019.06433

Shen, J., Duan, H., Zhang, B., Wang, J., Ji, J. S., Wang, J., Pan, L., Wang, X., Zhao, K., Ying, B., Tang, S., Zhang, J., Liang, C., Sun, H., Lv, Y., Li, Y., Li, T., Li, L., Hang, L., . . . Shi, X. (2020). Prevention and control of COVID-19 in public transportation: Experience from China. Environmental Pollution, 266, 115291. https://doi.org/10.1016/j.envpol.2020.115291

Zeng, Y. (2019, September 19). Responsible facial recognition and beyond. arXiv.org. https://arxiv.org/abs/1909.12935