Merge branch 'main' into dev

src/collections/views/a-clusive-success-story.md

@@ -10,6 +10,7 @@ tags:
   - Data Science
   - Disability
   - Education
+  - CISL
 ---
 ![Clusive logo](https://www.cast.org/binaries/content/gallery/castm/impact/clusive-story-16x9.jpg/clusive-story-16x9.jpg/aem%3Amedium)
 

src/collections/views/communication-access-within-the-accessible-canada-act-reports.md

@@ -9,6 +9,7 @@ excerpt: Communication Access within the Accessible Canada Act project ended in
 tags:
   - Accessibility
   - Disability
+  - Communication Access
 ---
 ![Communication Access within the Accessible Canada Act logo](/uploads/commacc2.png)
 

src/collections/views/covid-19-vaccination-centre-data-monitor-accessibility-map.md

@@ -12,6 +12,7 @@ tags:
   - Disability
   - Healthcare
   - Accessibility
+  - We Count
 ---
 ## Background 
 

src/collections/views/disability-bias-in-ai-powered-hiring-tools-co-design.md

@@ -13,6 +13,7 @@ tags:
   - Bias
   - AI
   - Employment
+  - EDS
 ---
 
 

src/collections/views/ensuring-equitable-outcomes-from-automated-hiring-processes-an-update.md

@@ -11,6 +11,7 @@ tags:
   - AI
   - Disability
   - Employment
+  - ODD
 ---
 Several months ago, I wrote a piece about [Ensuring Equitable Outcomes from Automated Hiring Processes](https://wecount.inclusivedesign.ca/views/ensuring-equitable-outcomes-from-automated-hiring-processes/) questioning what roles would be taken by those corporations deploying automated systems as part of the infrastructure of society. I highlighted that there was a familiar trajectory to this process, whereby those corporations acting against the public interest were eventually made subject to oversight and regulation. After this it was found that it was perfectly possible to operate these systems at a profit, despite the corporations insisting that this oversight was incompatible with the demands of capitalism. In that posting, I appealed to a familiar example from the history of technology, the operation of steamboats on the Hudson River and Mississippi, whose captains insisted that they could not be made safe at a price the public could afford.
 

src/collections/views/ensuring-equitable-outcomes-from-automated-hiring-processes.md

@@ -13,6 +13,7 @@ tags:
   - Bias
   - Employment
   - Disability
+  - ODD
 ---
 The [ODD](https://idrc.ocadu.ca/odd/) (Optimizing Diversity with Disability) initiative is a part of the IDRC's [We Count](https://wecount.inclusivedesign.ca/) project. A central aim of ODD is to investigate bias in widely deployed hiring algorithms and to suggest more inclusive alternatives.
 

src/collections/views/environmental-scan-addressing-inclusionary-practice-in-canadian-ai-firms.md

@@ -9,6 +9,7 @@ excerpt: "An overview of key findings from the AI Firm portion of the
 tags:
   - AI
   - Employment
+  - We Count
 ---
 This article provides an overview of key findings from an environmental scan conducted by the We Count team in May 2020. The scan relied on information available through online sources to explore how data ethics are being taught, expressed, and implemented within Canada by three stakeholders in the data ecosystem: [Postsecondary education (PSE) Institutions](https://wecount.inclusivedesign.ca/views/environmental-scan-canadian-postsecondary-education-and-ai-ethics/), [Data Service Providers](https://wecount.inclusivedesign.ca/views/environmental-scan-assessing-inclusionary-practice-in-canadian-data-services/), and AI Firms.
 

src/collections/views/environmental-scan-assessing-inclusionary-practice-in-canadian-data-services.md

@@ -9,6 +9,7 @@ excerpt: "An overview of key findings from the Data Service Provider portion of
 tags:
   - AI
   - Employment
+  - We Count
 ---
 This article provides an overview of key findings from an environmental scan conducted by the We Count team in May 2020. The scan relied on information available through online sources to explore how data ethics are being taught, expressed, and implemented within Canada by three stakeholders in the data ecosystem: [Postsecondary Education (PSE) Institutions](https://wecount.inclusivedesign.ca/views/environmental-scan-canadian-postsecondary-education-and-ai-ethics/), Data Service Providers, and [AI Firms](https://wecount.inclusivedesign.ca/views/environmental-scan-addressing-inclusionary-practice-in-canadian-ai-firms/).
 

src/collections/views/environmental-scan-canadian-postsecondary-education-and-ai-ethics.md

@@ -9,6 +9,7 @@ excerpt: "An overview of key findings from the Postsecondary Education portion
 tags:
   - AI
   - Education
+  - We Count
 ---
 This article provides an overview of key findings from an environmental scan conducted by the We Count team in May 2020. The scan relied on information available through online sources to explore how data ethics are being taught, expressed, and implemented within Canada by three stakeholders in the data ecosystem: Postsecondary Education (PSE) Institutions, [Data Service Providers](https://wecount.inclusivedesign.ca/views/environmental-scan-assessing-inclusionary-practice-in-canadian-data-services/), and [AI Firms](https://wecount.inclusivedesign.ca/views/environmental-scan-addressing-inclusionary-practice-in-canadian-ai-firms/).
 

src/collections/views/equitable-digital-systems-final-research-report.md

@@ -10,6 +10,7 @@ tags:
   - Disability
   - Accessibility
   - Employment
+  - EDS
 ---
 ![Equitable Digital Systems logo](/uploads/eds-colored-03.png)
 

src/collections/views/equitable-digital-systems.md

@@ -12,6 +12,7 @@ tags:
   - Disability
   - Accessibility
   - Employment
+  - EDS
 ---
 ![EDS: Equitable Digital Systems logo](/uploads/eds-colored-03.png)
 

src/collections/views/exploring-bias-in-hiring-tools-1.md

@@ -13,6 +13,7 @@ tags:
   - Disability
   - Employment
   - Accessibility
+  - ODD
 ---
 The IDRC, with the support of Kessler Foundation and Microsoft, has launched ODD (Optimizing Diversity with Disability). The goal of ODD is to investigate bias in hiring algorithms using non-disability-specific and synthesized disability-specific employment data. In the next year, we will work with the community to create synthetic models of resume and job seeker data that will be tested with online hiring systems. Our objective is to better understand how to mitigate algorithmic bias and to use this knowledge in future projects to develop algorithms that can optimize diversity.
 This video presentation examines how AI technology is utilized in recruitment and selection, its implications for candidates with disabilities, and the question of accessibility and diversity.

src/collections/views/introduction-to-data-science-tools-resources-in-the-we-count-research-library.md

@@ -12,6 +12,7 @@ tags:
   - Disability
   - Data Science
   - Accessibility
+  - We Count
 ---
 The issues with bias, gaps and fairness in AI can be addressed by ensuring persons with disabilities can equally participate in the field of data science. The tools used in data science are numerous. They differ greatly in their purpose, interface, complexity and capabilities. Unfortunately for data scientists with a disability, use of these tools can be challenging and unpredictable as their accessibility can vary greatly. There are often shortfalls in the tools’ designed accessibility, with accessibility features included as an afterthought. Persons with disabilities are left to develop workarounds and use trial-and-error methods to determine how assistive technologies can be used effectively with data science tools. The result is a patchwork of solutions and strategies that are less than ideal yet require constant adjustments.