Alert over Increasing Data Inequality; US Chief Data Scientist to Discuss and Suggest Policies at Center for Data Innovation's Panel on August 30th
The Center for Data Innovation has released a new report titled "Addressing the Data Divide," which highlights the growing disparity between individuals and communities who have access to and can effectively use data, and those who are left behind. Gillian Diebold, a policy analyst with the Center, authored the report and emphasizes the importance of ensuring data collection and use is inclusive for all individuals and communities.
The report outlines a specific policy agenda to address the data divide, similar to closing the digital divide in access to information technology, broadband Internet service, and digital skills. It identifies various data divides in the United States, including those that stem from insufficient and inadequate data in education systems, healthcare, financial services, and environmental monitoring.
The report recommends substantial efforts to close the data divide, recognizing it as different and more nuanced than the digital divide. Key policy recommendations from the report likely emphasize promoting data sharing models that maximize benefits from data and overcome siloing, ensuring equitable data access for marginalized or underrepresented communities to avoid perpetuating disparities, and encouraging public policies that facilitate data-driven innovation while addressing barriers like privacy, security, and infrastructure.
The report also identifies data divides that stem from the underrepresentation of certain demographics, such as gender, race, disability, and income. To address this, the report recommends improving documentation and quality of prominent AI datasets to reduce the number of situations with biased results, enhancing data quality for non-government data, and improving federal data quality by developing targeted outreach programs for underrepresented communities.
The report supports increased utilization and incorporation of crowdsourced and private-sector data into official datasets. It also recommends ensuring comparable data collection and monitoring methodologies among the government and civil society.
On August 30, the Center for Data Innovation will host a webinar titled "How Can the United States Address the Data Divide." U.S. Chief Data Scientist Denice Ross will deliver keynote remarks, and panelists will include Dominique Harrison, Traci Morris, Ioana Tanase, and Chris Wood. Registration is required to attend this informative event, which will provide an opportunity to learn about the report's recommendations for addressing the data divide.
In conclusion, the Center for Data Innovation's report emphasizes the need for policymakers to prioritize addressing the data divide in the United States by focusing on increasing data representation and access rather than collecting less data. By implementing the report's recommendations, the goal is to prevent certain individuals and communities from being left behind in an increasingly data-driven world.
- The Center for Data Innovation's new report, "Addressing the Data Divide," stresses the importance of inclusive data collection and use for all individuals and communities.
- The report proposes a policy agenda akin to closing the digital divide, focusing on data access, technology, and digital skills.
- The report identifies various data divides in the US, including education, healthcare, finance, and the environment.
- To close the data divide, the report suggests promoting data-sharing models, ensuring equitable data access, and facilitating data-driven innovation.
- Privacy, security, and infrastructure are barriers to addressing the data divide, the report acknowledges.
- The report also addresses data divides related to underrepresentation of certain demographics, such as gender, race, disability, and income.
- Improving AI dataset documentation, enhancing data quality for non-government data, and outreach programs for underrepresented communities are recommended to reduce bias.
- The report supports the use of crowdsourced and private-sector data, and encourages comparable data collection methods among government and civil society.
- On August 30, the Center for Data Innovation will host a webinar discussing the report's recommendations for addressing the data divide.
- U.S. Chief Data Scientist Denice Ross will deliver keynote remarks, and panelists will include Dominique Harrison, Traci Morris, Ioana Tanase, and Chris Wood.
- Registration is required to attend this webinar, offering an opportunity to learn about the report's recommendations for handling the data divide.
- By prioritizing increasing data representation and access, policymakers can prevent certain individuals and communities from being left behind in the data economy.
- The goal is to ensure a data-driven digital economy benefits everyone, not just the privileged few, as outlined in the Center for Data Innovation's report.