Employment Sector |
Count |
---|---|
Academia |
7 |
Contractor |
1 |
Federal government |
2 |
For-profit/private industry |
13 |
Nonprofit |
9 |
Expertise Area |
Count |
---|---|
Generative AI |
21 |
Large language models (LLM) |
17 |
AI use in school settings |
9 |
Education of students with disabilities in K-12 or postsecondary settings |
12 |
Employment issues affecting people with disabilities |
13 |
AI in the workplace |
17 |
Autonomous vehicles |
6 |
Transportation policy |
6 |
AI used for visual descriptions (image/video descriptions) or visual interpretation |
18 |
Algorithmic decision making in healthcare settings |
9 |
AI use for determining benefits eligibility |
3 |
Policy issues around regulation of AI technologies |
13 |
Other |
4 |
Gender |
Count |
---|---|
Cisgender female/woman |
13 |
Cisgender male/man |
15 |
Genderqueer, gender-nonbinary, or gender fluid |
3 |
I prefer not to provide this information |
1 |
Race |
Count |
---|---|
Asian/Asian American |
7 |
Black/African American |
2 |
I prefer not to provide this information |
3 |
Middle Eastern/North African (ME/NA) |
1 |
White non-Hispanic |
19 |
Years in role |
Count |
---|---|
Less than 1 year |
4 |
1-2 years |
3 |
2-5 years |
13 |
6-10 years |
4 |
11-20 years |
5 |
More than 20 years |
3 |
Location |
Count |
---|---|
California |
4 |
Colorado |
1 |
England |
1 |
Florida |
2 |
Kansas |
1 |
Maryland |
3 |
Massachusetts |
4 |
Michigan |
1 |
Minnesota |
1 |
New York |
2 |
Texas |
1 |
Toronto |
2 |
Virginia |
2 |
Washington |
1 |
Washington, D.C. |
6 |