In this module, we discover AI tools, which is a very interesting topic compare to the others. As known that AI tools are intelligence and advanced of the year, such as Chatgpt or AI art. This technology affects a variety of fields, from creative arts or literature research. However, in this module, I decided to try use Stable Diffusion to see how it works.

Generative AI tools

In this module, it gives us an opportunity to generate contents by using AI tools. Generating text has already been used a lot, then i decided to explore AI tools by generating images. I am not very familiar with image generating tools, so i would give a try for it.

After the generation of the image, the tool had created a very realistic image, which is beyond my expectations. For this image generating tool, you only need to input one key word and then select the style, there are about 30 styles we can choose, the one i picked was sai-3d model, the result will take about 1 minute.

In recent years, Ai tools had significant progress and they have improved in all of the variety of fields. AI has become more accurate and efficient in generating images, when you input any key word, the tool will come out with a accurate image. In addition, AI tools become easier to access and allow the individuals to use AI as a daily life tools, which can be increase their effectiveness of all the areas in life. The Stable Diffusion tool could be a great tool for the designers and architect to assist their work and become more productive.

From this module, I also explored the history of AI tools from the past years, the invention of AI can be traced back to the 1950s, the early efforts focused on symbolic AI, using rules and logical reasoning to solve the problems. So, in this era, the AI systems program had been emerged (Rockwell Anyoha, 2017). Until now, the modern AI tools had become advanced and intelligence through the long pathway, even in the future, AI could be more advanced.

By investigating AI tools, I found out the AI has the potential to significantly become more investigative process. In Stable Diffusion, the process of generation was quick, saved time then the result was perfect. As development of the technology, i personally believe the Ai tools would make more progresses in the future years.

Reflection questions:

What ethical concerns do you have (or not have) about the use of some of these tools?

The ethical concerns about use of some of these tools would be about the interaction of learning about privacy. Nowadays, Chatgpt is often used at the colleges, which provides a chance for students to use for any academic purposes. AI is the one that students can use to cheat on their assignments or exams, it generates the answer for them but the answer is not always make sense, such as the example questions in this module, “who are the 2 black US presidents?”. ChatGpt generated the answer, however, the answer provided was not correct. From that, we can tell that even we all know AI tools are intelligence but they are only generating languages, not gathering the accurate information.

AI ethnical concerns is also related to privacy, the privacy concerns are due to the date collections and processed by the AI systems, which increases the issues about data protection, and other potential problems. In this situation, the regulations and framework should regulate the development and reduce these privacy risks while the development of AI tools.

What tools did you find useful in your explorations this week and how did you use them? Which ones were not useful?

The most useful AI tools in this week would be the image generation tools, the advantages of this tool have creative process and visual content creation. It can generate high-quality images by inputing the prompt and selecting the styles, it saves time and increase the productivities to create images of artwork or any designs. The accessibility of image generating AI are more flexible to create customized content, which are important for artists or designers to save time and effort at work. The ones were not useful would be text generating tools, even sometimes we use it to get inspirations or gathering ideas, however, the answer which text generation tools are not always accurate, it can be a supportive tool but cannot always rely on.

Where do you think these tools will be in their evolution in 2-3 years’ time?

In the next 2-3 years, the tools for design such as DALL-E2 and other image generation tools are likely to make more advances, these tools are definitely becoming more sophisticated and capable of producing more realistic content. However, we have to agree that AI tools are more time efficiency, but it still not be able to taking over humans. For all the designers or artists, they probably use this tool for assistance purpose but it could not be fully replace the designers or artists. As the improvement of technology in the next 2-3 years, the AI would be a more helpful tool for them but not replacing them.

References

SITNFlash. (2020, April 23). The history of Artificial Intelligence. Science in the News. https://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/