`r config::get("disclaimer")`
@@ -20,7 +20,7 @@ There is the potential for AI to dramatically influence society. It is our respo
## Guidelines for Responsible Development and Use of AI.
-There are currently several guidelines for the responsible use and development of AI:
+There are currently several guidelines for the responsible use and development of AI:
- United States [Blueprint for an AI Bill of Rights](https://www.whitehouse.gov/ostp/ai-bill-of-rights/)
- United States [Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence](https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/)
@@ -48,12 +48,12 @@ In this chapter we will discuss the some of the major ethical considerations in
1) **Inappropriate Use and Lack of Oversight** - There are situations in which using AI might not be appropriate now or in the future. A lack of human monitoring and oversight can result in harm.
1) **Bias Perpetuation and Disparities** - AI models are built on data and code that were created by biased humans, thus bias can be further perpetuated by using AI tools. In some cases bias can even be exaggerated. This combined with differences in access may exacerbate disparities.
1) **Security and Privacy Issues** - Data for AI systems should be collected in an ethical manner that is mindful of the rights of the individuals the data comes from. Data around usage of those tools should also be collected in an ethical manner. Commercial tool usage with proprietary or private data, code, text, images or other files may result in leaked data not only to the developers of the commercial tool, but potentially also to other users.
-1) **Climate Impact** - As we continue to use more and more data and computing power, we need to be ever more mindful of how we generate the electricity to store and perform our computations.
+1) **Climate Impact** - As we continue to use more and more data and computing power, we need to be ever more mindful of how we generate the electricity to store and perform our computations.
1) **Transparency** - Being transparent about what AI tools you use where possible, helps others to better understand how you made decisions or created any content that was derived by AI, as well as the possible sources that the AI tools might have used when helping you. It may also help with future unknown issues related to the use of these tools.
:::{.ethics}
-Keep in mind that some fields, organizations, and societies have guidelines or requirements for using AI, like for example the policy for the use of large language models for the [International Society for Computational Biology](https://www.iscb.org/iscb-policy-statements/iscb-policy-for-acceptable-use-of-large-language-models). Be aware of the requirements/guidelines for your field.
+Keep in mind that some fields, organizations, and societies have guidelines or requirements for using AI, like for example the policy for the use of large language models for the [International Society for Computational Biology](https://www.iscb.org/iscb-policy-statements/iscb-policy-for-acceptable-use-of-large-language-models). Be aware of the requirements/guidelines for your field.
:::
Note that this is an incomplete list; additional ethical concerns will become apparent as we continue to use these new technologies. We highly suggest that users of these tools be **careful to learn more about the specific tools they are interested in** and to be **transparent** about the use of these tools, so that as new ethical issues emerge, we will be better prepared to understand the implications.
@@ -77,7 +77,7 @@ ottrpal::include_slide("hhttps://docs.google.com/presentation/d/1L6-8DWn028c1o0p
**For decision makers about AI use:**
-* Consider how the content or decisions generated by an AI tool might be used by others.
+* Consider how the content or decisions generated by an AI tool might be used by others.
* Continually audit how AI tools that you are using are preforming.
* Do not implement changes to systems or make important decisions using AI tools without AI oversight.
@@ -102,10 +102,10 @@ AI systems should be thought of as better computers as opposed to replacements f
ottrpal::include_slide("https://docs.google.com/presentation/d/1L6-8DWn028c1o0p9gwXmz90BRcy_PjPqb683nbk1gHQ/edit#slide=id.g2aaead717c1_8_69")
```
-While there are some contexts in which human labor has already been replaced by robotics and AI, studies show that humans tend to prefer human-made goods when those goods are not strictly functional (@bellaiche_humans_2023, @granulo_preference_2021).
-It has been proposed that there will be radical shifts in the way that humans work in many fields including health care, banking, retail, security, and more (@selenko_artificial_2022). Yet we need to implement changes gradually to allow for time to better understand the consequences and mindfully consider how such changes impact human employment and well-being.
+While there are some contexts in which human labor has already been replaced by robotics and AI, studies show that humans tend to prefer human-made goods when those goods are not strictly functional (@bellaiche_humans_2023, @granulo_preference_2021).
+It has been proposed that there will be radical shifts in the way that humans work in many fields including health care, banking, retail, security, and more (@selenko_artificial_2022). Yet we need to implement changes gradually to allow for time to better understand the consequences and mindfully consider how such changes impact human employment and well-being.
-@selenko_artificial_2022 have proposed a [framework](https://journals.sagepub.com/doi/full/10.1177/09637214221091823) for considering the impact of AI usage on human workers to promote benefit and avoid harm. It suggests considering usage in a few different ways: AI for complementing work, AI for replacing tasks, and AI for generating new tasks. It suggests considering how such usages might reduce tedious or dangerous work, while also preserving work-related benefits such as self-esteem, belonging, and perceived meaningfulness. See [here](https://journals.sagepub.com/doi/full/10.1177/09637214221091823) for the article.
+@selenko_artificial_2022 have proposed a [framework](https://journals.sagepub.com/doi/full/10.1177/09637214221091823) for considering the impact of AI usage on human workers to promote benefit and avoid harm. It suggests considering usage in a few different ways: AI for complementing work, AI for replacing tasks, and AI for generating new tasks. It suggests considering how such usages might reduce tedious or dangerous work, while also preserving work-related benefits such as self-esteem, belonging, and perceived meaningfulness. See [here](https://journals.sagepub.com/doi/full/10.1177/09637214221091823) for the article.
@@ -121,7 +121,7 @@ democracy and human rights." (@latar_robot_2015)
> "This potential threat to the profession of human journalism is viewed by some
optimistic journalists merely as another tool that will free them of the necessity to
conduct costly and, at times, dangerous investigations. The robot journalists will
-provide them, so the optimists hope, with an automated draft for a story that they will edit and enrich with their in-depth analysis, their perspectives and their narrative talents.
+provide them, so the optimists hope, with an automated draft for a story that they will edit and enrich with their in-depth analysis, their perspectives and their narrative talents.
> The more pessimistic journalists view the new robot journalists as a real threat
to their livelihood and style of working and living.
@@ -138,7 +138,7 @@ Computer science is a field that has historically lacked diversity. It is also c
* Avoid thinking that content by AI tools must be better than that created by humans, as this is not true (@sinz_engineering_2019).
* Recall that humans wrote the code to create these AI tools and that the data used to train these AI tools also came from humans. Many of the large commercial AI tools were trained on websites and other content from the internet.
* Be transparent where possible about **when you do or do not use AI tools**, give credit to the humans involved as much as possible.
-* Make decisions about using AI tools based on ethical [frameworks](https://journals.sagepub.com/doi/full/10.1177/09637214221091823) in terms of considering the impact on human workers.
+* Make decisions about using AI tools based on ethical [frameworks](https://journals.sagepub.com/doi/full/10.1177/09637214221091823) in terms of considering the impact on human workers.
@@ -148,7 +148,7 @@ Computer science is a field that has historically lacked diversity. It is also c
**For decision makers about AI development:**
* Be transparent about the data used to generate tools as much as possible and provide information about what humans may have been involved in the creation of the data.
-* Make decisions about creating AI tools based on ethical [frameworks](https://journals.sagepub.com/doi/full/10.1177/09637214221091823) in terms of considering the impact on human workers.
+* Make decisions about creating AI tools based on ethical [frameworks](https://journals.sagepub.com/doi/full/10.1177/09637214221091823) in terms of considering the impact on human workers.