skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: Will AI allow us to dispense with all or most accessibility regulations?
With advances in AI, computer vision, and interface understanding, there is the potential to offload much of the work currently spent by companies’ developers in making products accessible. There is also the potential to move our major accessibility approach from an ‘inclusively-designed-products-plus-AT focus to a ‘universalinterface- transformer focus. This would be a major reversal of approach and have significant ramifications for legislation, regulation, and the established large-scale accessibility industries that have grown up around them. Such a disruption would require concrete evidence that such a change would, in fact, be better for people with disabilities. It would also require a path from the former to the latter. This paper presents the case for such a shift, some of the benefits and ramifications, and the developments necessary to make the shift. It also outlines a hybrid approach between inclusive design and bespoke custom interfaces.  more » « less
Award ID(s):
2312370
PAR ID:
10521693
Author(s) / Creator(s):
;
Corporate Creator(s):
Publisher / Repository:
ACM
Date Published:
Edition / Version:
2024
Volume:
2024
Issue:
571
ISBN:
9798400703317
Page Range / eLocation ID:
1 to 9
Subject(s) / Keyword(s):
Accessibility Regulations Policy Equity
Format(s):
Medium: X
Location:
Honolulu HI USA
Sponsoring Org:
National Science Foundation
More Like this
  1. Synopsis Equity and inclusivity in STEM research has become a larger topic of discussion in recent years; however, researchers and scientists with disabilities and/or chronic illnesses are often missing from these conversations. Further, while field research is a major research component for some STEM disciplines, it is unclear what accessibility barriers or accommodations exist across the field sciences. Field research can sometimes involve harsh environments, topography, and weather that present challenges to those with disabilities and/or chronic illnesses. A large and coinciding obstacle standing in the way of field research accessibility is the ableism present across science and academia, resulting in and from a lack of prioritization of attention and funding from universities and institutions. Biological field stations have been shown to be valuable not only as infrastructure for field-based research, but also as providing resources toward the scientific education of students and scientific outreach initiatives for the general public. As such, biological field stations are perfectly positioned to reduce barriers in research inclusion and accessibility for students and scientists with disabilities and/or chronic illnesses. The current work presents the results of a survey meant to inventory the presence or absence of accessible infrastructure across field stations, with responses spanning six countries and 24 US states. Our results highlight a number of accessibility deficits in areas such as accessible entrances, kitchens, and bathrooms. Our results suggest that (1) biological field stations have significant variability in accessibility with significant deficits, especially in non-public-facing buildings used primarily by staff and researchers, and (2) field stations would benefit from an increase in federal funding opportunities to expedite their progress toward compliance with Americans with Disabilities Act (ADA) standards. We propose potential solutions to field work infrastructure spanning a range of financial costs, with emphasis on the point that efforts toward accessibility do not require an “all-or-nothing” approach, and that any step toward accessibility will make field stations more inclusive. Additionally, we further suggest that federal funding sources, such as the NSF and NIH, as well as university leadership, should consider broadening diversity initiatives to promote the continuation of, and increased accessibility of, university-affiliated field stations. 
    more » « less
  2. Abstract Climate change is impacting global crop productivity, and agricultural land suitability is predicted to significantly shift in the future. Responses to changing conditions and increasing yield variability can range from altered management strategies to outright land use conversions that may have significant environmental and socioeconomic ramifications. However, the extent to which agricultural land use changes in response to variations in climate is unclear at larger scales. Improved understanding of these dynamics is important since land use changes will have consequences not only for food security but also for ecosystem health, biodiversity, carbon storage, and regional and global climate. In this study, we combine land use products derived from the Moderate Resolution Imaging Spectroradiometer with climate reanalysis data from the European Centre for Medium-Range Weather Forecasts Reanalysis v5 to analyze correspondence between changes in cropland and changes in temperature and water availability from 2001 to 2018. While climate trends explained little of the variability in land cover changes, increasing temperature, extreme heat days, potential evaporation, and drought severity were associated with higher levels of cropland loss. These patterns were strongest in regions with more cropland change, and generally reflected underlying climate suitability—they were amplified in hotter and drier regions, and reversed direction in cooler and wetter regions. At national scales, climate response patterns varied significantly, reflecting the importance of socioeconomic, political, and geographic factors, as well as differences in adaptation strategies. This global-scale analysis does not attempt to explain local mechanisms of change but identifies climate-cropland patterns that exist in aggregate and may be hard to perceive at local scales. It is intended to supplement regional studies, providing further context for locally-observed phenomena and highlighting patterns that require further analysis. 
    more » « less
  3. Abstract The “cloud lab,” an automated laboratory that allows researchers to program and conduct physical experiments remotely, represents a paradigm shift in scientific practice. This shift from wet‐lab research as a primarily manual enterprise to one more akin to programming bears incredible promise by democratizing a completely new level of automation and its advantages to the scientific community. Moreover, they provide a foundation on which automated science driven by artificial intelligence (A.I.) can be built upon and thereby resolve limitations in scope and accessibility that current systems face. With a focus on DNA nanotechnology, the authors have had the opportunity to explore and apply the cloud lab to active research. This perspective delves into the future potential of cloud labs in accelerating scientific research and broadening access to automation. The challenges associated with the technology in its current state are further explored, including difficulties in experimental troubleshooting, the limited applicability of its parallelization in an academic setting, as well as the potential reduction in experimental flexibility associated with the approach. 
    more » « less
  4. Life cycle impact assessment (LCA) provides a better understanding of the energy, water, and material input and evaluates any production system’s output impacts. LCA has been carried out on various crops and products across the world. Some countries, however, have none or only a few studies. Here, we present the results of a literature review, following the PRISMA protocol, of what has been done in LCA to help stakeholders in these regions to understand the environmental impact at different stages of a product. The published literature was examined using the Google Scholar database to synthesize LCA research on agricultural activities, and 74 studies were analyzed. The evaluated papers are extensively studied in order to comprehend the various impact categories involved in LCA. The study reveals that tomatoes and wheat were the major crops considered in LCA. The major environmental impacts, namely, human toxicity potential and terrestrial ecotoxicity potential, were the major focus. Furthermore, the most used impact methods were CML, ISO, and IPCC. It was also found that studies were most often conducted in the European sector since most models and databases are suited for European agri-food products. The literature review did not focus on a specific region or a crop. Consequently, many studies appeared while searching using the keywords. Notwithstanding such limitations, this review provides a valuable reference point for those practicing LCA. 
    more » « less
  5. Tornados are a major hazard in many regions around the world and as such it is necessary to analyze them. However, such analyses require accurately tracking them first. Currently, there are gaps in the available vortex detection methods when processing a wind-field dataset to locate a series of points that are identifiable as the tornado centreline. This study proposes a novel solution that corrects for deficiencies in previous attempts to identify vortex centres when applied to tornado wind-fields, which would have otherwise led to identifying merely the region of the vortex, several potential centres requiring post-processing, or erroneously approximating the tornado centre. Additionally, this method combines the efficiency required to process large datasets of temporal and spatial wind velocity vector distributions with the accuracy needed to reliably calculate a specific line as a tornado centre. This method is compared to five other approaches commonly used for vortex identification in order to assess: (a) how accurately they identify the centre region, (b) how they handle extraneous vortices that are not of interest, and (c) their computational efficiency in processing a wind-field dataset. With the proposed method, it would be possible to plot a tornado path from formation to dissipation and perform analyses to understand the vortex characteristics with respect to this path without requiring extensive user-intervention. 
    more » « less