V0.4
Andy Weeger / Neu-Ulm University of Applied Sciences Neu-Ulm / Introduction to Artificial Intelligence (AI)

Ethics

🧠 Introduction to AI — I2AI_8

Andy Weeger

Neu-Ulm University of Applied Sciences

February 13, 2024

Dualities of AI

We have this incredible opportunity with AI, because of the way it’s trained to look at ourselves and our society. AI is a mirror, not a master. Tim O’Reilly

Bright side

We are not pursuing AI to beat humans at games. We are pursuing AI so that we can empower every person and every institution that people build with tools of AI, so that they can go on to solve the most pressing problems of our society and our economy. Bill Gates (The Economic Times 2016)

Exercise — Level-up

Read following article “Everyone is above average” (Mollick 2023).

Take 20 minutes to read the article, to think about the following questions and to prepare answers.

  • Do you think that AI is rather an escalator or a king-maker? Why?
  • What are risks of AI taking that role?
  • What could be broader, long-term socioeconomic implications of AI leveling skills?
  • What other effects might AI have on a societal level?
  • What can be done to maximize the benefits and minimize the risks?

Dark side

It seems probable that once the machine thinking method had started, it would not take long to outstrip our feeble powers … They would be able to converse with each other to sharpen their wits. At some stage therefore, we should have to expect the machines to take control. Alan Turing

Exercise — Fairspeech

Have a look at the fairspeech website (and at the research paper (Koenecke et al. 2020)).

Take 20 minutes, think about the following questions and prepare answers.

  • What is the issue with current automated speech recognition (ASR) systems ?
  • Which ethical issues do they cause?
  • What should be done to mitigate the risks?

Case Study

Form groups of two, take 20 minutes to revisit the case study and work on following questions.

  • Do you think that we will see something like artificial general intelligence in our lifetime?
  • Which of the aforementioned risks worries you the most? Why?
  • What is your opinion on the design of the OpenAI organization regarding its ability to deal responsibly with AI?
  • Do you think the self-regulation approaches taken by organizations like OpenAI, Microsoft, Meta, and Google are sufficient? Why (not)?
  • What do you think about making LLM and other AI technologies available via open source?
  • What are benefits and risks of legal regulations regarding the design and use of AI?

Responsible AI governance

I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish. I mean with artificial intelligence we’re summoning the demon. Elon Musk

Let’s do some research to learn more about government and private sector-driven approaches to moving toward responsible AI.

European Union

Take 25 minutes to research about the Artificial Intelligence Act of the European Union.

Try to understand the risk-based approach and provide a short summary, also tackling following questions:.

  • What are high risk AI systems?
  • Which requirements should be mandatory requirements for these?

Prepare a short presentation (approx 5 minutes).

Microsoft

Research about Microsoft Responsible AI Standard (v2)

Take 25 minutes to understand the goals of this standard and the principles applied.

Also consider how Microsoft propose to assess the impact of AI and how the standard affects Microsofts own operations and services.

Prepare a short presentation (approx 5 minutes).

Google

Research about Googles AI principles.

Take 25 minutes to understand and to assess Googles principles. Create a short summary of your learnings, also tackling following questions:.

  • What kind of AI applications does Google not develop on principle? Are the statements credible?
  • Which practices do they recommend when developing AI?

Prepare a short presentation (approx 5 minutes).

Literature

Koenecke, Allison, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R Rickford, Dan Jurafsky, and Sharad Goel. 2020. “Racial Disparities in Automated Speech Recognition.” Proceedings of the National Academy of Sciences 117 (14): 7684–89.
Mollick, Ethan. 2023. “Everyone Is Above Average.” Everyone Is Above Average - by Ethan Mollick. One Useful Thing. https://www.oneusefulthing.org/p/everyone-is-above-average?utm_campaign=post&utm_medium=web.
The Economic Times. 2016. “Microsoft Using AI to Make the World a Better Place: Satya Nadella.” https://economictimes.indiatimes.com/magazines/panache/microsoft-using-ai-to-make-the-world-a-better-place-satya-nadella/articleshow/54546010.cms.