On Monday, we talked about AI and ethics. For homework, we had to ‘play’ the trolly game. In class, we talked about our different results and what made us choose them. As a table, we ‘played’ the Moral Machine Simulation. I thought it was really interesting how we got our statistics at the end. My group and I did not realize we were prioritizing some people over others, but our results showed otherwise.

On Wednesday, we discussed AI and race. For homework, we read two excerpts from Black Software and watched a TED Talk by Joy Buolamwini. In class, we focused the discussion on the Black Software readings and the relations between AI and race.

On Friday, we talked about AI and creativity. We did not have homework. In class, we discussed AI and making things like art, literature, and music. At the end of class, we played a Kahoot where we saw a picture (or some text) and had to decide if it was made by a human or AI. Spoiler alert, I did not do very well.

How do you think designers of AI should account for potential ethical decisions?

• Allow the AI thousands of simulations of every possible scenario until it learns to seek the best possible outcome for humans?
• Create a list of rules describing the best behavior for every conceivable scenario?

This is such a tough question to answer. My first thought would be the second option, create a list of rules, but I am sure there would be ones left out/forgotten. I wonder, when it comes to Tesla cars, what is programmed into them? I am honestly not sure how to answer this question, but it really has me thinking (especially after ‘playing’ the Moral Machine Simulation).

What is the sinister shit in ALERT II? What kind of “sinister shit” is still pervasive today, buried between lines of technical jargon?

The “sinister shit” in ALERT II refers to the societal and racial bias that exists in our society, that made its way into ALERT II. The data programmers used for ALERT II was flawed, so the program also ways. It included a lot of biased data about who was more likely to commit crimes and where crimes were more likely to happen. There is definitely sinister shit buried in legal jargon today, especially in our justice system. Another example is terms of services. Companys know people do not read terms of services and take advantage of that.

• Can you think of any other “every day” collaborations with AI? Have you collaborated with AI today?
  • When it comes to everyday AI, I automatically think of things like Alexa and Siri. While living at school, I do not interact with a lot of artifical intellgicance, except for one thing I use almost every day. It is a software called Speechify. It uses AI voices to read text to you. I have a hard time focusing so this is great!
• How did you do on the “Bot or Not” quiz? What was the most surprising wrong answer?
  • I think I got maybe 9 questions right. There was a “painitng” made by a bot that was tying to mimic Rembrandt’s work and it looked so realistic. That one was really tricky for me.
• What is the future of creative AI? Will artists continue using it to make versions of works that mimic human works, or is there an audience for more AI-centered work?
  • I think there is going to be more AI work sold at auctions. It seems like rich people would get such a kick out of that. All jokes aside, AI art is really cool and fancinaiting to me. There was a TikTok trend going around recently where people used the app “Dream” to make various works of art. I think AI art is making its way to the forefront of pop culture right now.
• What is creativity? Can a computer ever truly be creative?
  • According to Google, the definiton of creativity is “the use of the imagination or original ideas, especially in the production of an artistic work.” Going off of this definiton, I feel like an AI cannot be creative because when it creates something (like art for an example), we are giving it ideas or other paintings to use as referece.