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CSPS Digital Academy Events (view source)
Revision as of 23:12, 1 December 2021
, 23:12, 1 December 2021no edit summary
= Upcoming Events =
= Upcoming Events =
The list below includes information on upcoming virtual events offered by the Digital Academy.
The list below includes information on upcoming virtual events offered by the Digital Academy.
{| class="wikitable" style="width: 1200px;
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! scope="col style="width: 40em;" | Title
! scope="col style="width: 80em;" | Description
! scope="col style="width: 30em;" | Date
! scope="col" style="width: 30em;" | Details
|- style="vertical-align: top;"
! scope="row" | CSPS-NRC Innovation Series: Aging in Place
| More details to come!
| January 12, 2022
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! scope="row" | Quantum Computing Series
| More details to come!
| February 16, 2022
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|-
|}
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= Past Events =
The list below includes information on the most popular past virtual events offered by the Digital Academy since June 2020.
{| class="wikitable" style="width: 1200px;
{| class="wikitable" style="width: 1200px;
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|-
[[File:Nov 30 - Zoom Background .png|frameless|center|400px]]
[[File:Nov 30 - Zoom Background .png|frameless|center|400px]]
| Artificial intelligence (AI) plays an important role in our everyday lives. To use it properly, we must understand the data, which forms the foundation of any AI algorithm.
| Artificial intelligence (AI) plays an important role in our everyday lives. To use it properly, we must understand the data, which forms the foundation of any AI algorithm.
<br>
As government organizations continue to explore the uses of AI, we must tackle the inherent data biases in AI systems, applications and business processes. We must ensure that the data powering AI systems is accurate and reliable and that it does not inadvertently harm specific groups of people.
As government organizations continue to explore the uses of AI, we must tackle the inherent data biases in AI systems, applications and business processes. We must ensure that the data powering AI systems is accurate and reliable and that it does not inadvertently harm specific groups of people.
<br><br>
<br><br>
Join the event to continue the ongoing discussion around the risks of data bias. The focus this time will be on preventing and spotting algorithmic biases, removing erroneous assumptions in AI systems, and exploring the legal ramifications. Participants will learn how to develop robust data governance structures that foster responsible use and development of AI based on the shared values of diversity and inclusion.
Join the event to continue the ongoing discussion around the risks of data bias. The focus this time will be on preventing and spotting algorithmic biases, removing erroneous assumptions in AI systems, and exploring the legal ramifications. Participants will learn how to develop robust data governance structures that foster responsible use and development of AI based on the shared values of diversity and inclusion.
| '''Postponed''' to November 30, 2021
| November 30, 2021
| [https://www.csps-efpc.gc.ca/events/tackling-artificial-intelligence/index-eng.aspx Event Page]
| [https://www.csps-efpc.gc.ca/events/tackling-artificial-intelligence/index-eng.aspx Event Page]
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[[CSPS Digital Academy Events/Tackling Data Bias in Artificial Intelligence - Event Program & Presentations|Event Program & Presentations]]
[[CSPS Digital Academy Events/Tackling Data Bias in Artificial Intelligence - Event Program & Presentations|Event Program & Presentations]]
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|-
! scope="row" | Maintaining Open and Safe Cyber Security Design for All
! scope="row" | Maintaining Open and Safe Cyber Security Design for All
[[File:Cybersecurity 2021 Event Image.png|400px|frameless|center]]
[[File:Cybersecurity 2021 Event Image.png|400px|frameless|center]]