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Hodan Omaar

Hodan

Senior Policy Analyst

Center for Data Innovation

Email: [email protected]

Twitter: @hodanomaar

Hodan Omaar is a senior analyst focusing on AI policy at ITIF’s Center for Data Innovation. Previously, she worked as a senior consultant on technology and risk management in London and as a crypto-economist in Berlin. She has an M.A. in economics and mathematics from the University of Edinburgh.

Research Areas

Recent Publications

March 10, 2023

Feedback to the European Commission on 2030 Digital Decade Key Performance Indicators

The Center for Data Innovation submits feedback on the European Commission’s key performance indicators to measure the progress towards the Digital Decade Policy Programme 2030 digital targets. The feedback includes proposed changes on how to improve some of the KPIs.

October 17, 2022

Comments to the International Trade Administration on AI Export Competitiveness

AI is transforming economic sectors and industries, creating new areas for innovations, and making its way into global trade discussions. A strong understanding of the AI landscape will be important to the International Trade Administration (ITA) and the Department of Commerce to ensure policy actions effectively strengthen the international competitiveness of U.S. industry and foster economic growth by promoting trade and investment.

July 27, 2022

US AI Policy Report Card

The 117th Congress was the most AI-focused congressional session in history with 130 AI bills proposed, so it is a good moment to take stock of U.S. AI policy accomplishments to date and identify areas where there is room for continued progress.

July 19, 2022

Industry-University Partnerships to Create AI Universities: A Model to Spur US Innovation and Competitiveness in AI

A collaboration between the University of Florida and NVIDIA provides five lessons for effective industry-university partnerships.

March 28, 2022

How the EU Can Unlock the Private Sector’s Human-Mobility Data for Social Good

Private firms face a number of challenges that limit their willingness and ability to share mobility data. The government’s role should be to coordinate the behavior of individuals, companies, and researchers toward social good.

January 14, 2022

Comments to OSTP on Biometric Technologies and Identity Verification, Individual Identification, and Inference of Attributes

Responding to an RFI on the use of biometric technologies, ITIF argued the government can help address and mitigate risks through independent public testing; performance standards; and more diverse training and evaluation datasets.

October 21, 2021

Creating an AI Bill of Rights Is a Distraction

The White House’s proposal to create a bill of rights for artificial intelligence is an idea premised on a misunderstanding of how power is deployed in America.

September 30, 2021

Comments to DOE on Providing Access to Quantum Systems

DOE should prioritize creating a national quantum computing research cloud that provides academic researchers with affordable access to high-end quantum computing infrastructure.

September 29, 2021

Comments to OSTP and NSF on a National AI Research Resource (NAIRR)

If successful, the NAIRR would serve to bolster innovation and U.S. competitiveness in AI. We support the goals of the Task Force and offer several comments to inform the work of the Task Force.

August 9, 2021

Principles to Promote Responsible Use of AI for Workforce Decisions

Given the transformative potential of AI for workforce decisions, policy should tilt toward enabling transformation with this technology.

May 17, 2021

New York City Is Sacrificing Residential Safety for Unwarranted Privacy Concerns

The Tenant Data Privacy Act would require all owners of residential buildings that use digital technologies to provision access to residents, such as through electronic key fobs or biometric door locks, to obtain informed consent through writing or a mobile app. Additionally, building owners would need to provide a “plain language” privacy policy to tenants that details the data their smart access system collects, the third parties they share the data with, how they will securely store the data, and how long they will retain data for.

April 27, 2021

Why the United States Needs to Support Near-Term Quantum Computing Applications

As other nations rapidly scale up their investments to develop and use quantum computing, U.S. policymakers should ensure the United States remains a leader. Investing in near-term applications would bolster the development of longer-term use cases, thereby helping to cement U.S. economic competitiveness and protect national security.

More publications by Hodan Omaar

Recent Events and Presentations

February 23, 2023

Where Should US AI Policy Be Headed Next?

Watch ITIF's Center for Data Innovation's panel discussion on the impact and efficacy of AI policy to date. Experts will debate on how policymakers can best nurture the capabilities and activities of the U.S. AI ecosystem moving forward.

October 13, 2022

Government Perspective: Deepfakes and Restoring Trust Online

Hodan Omaar speaks at Microsoft Innovation and Policy Center's event emphasizing the importance that policymakers ensure to internationalize efforts to mitigate harm from deepfakes and disinformation as malign information campaigns are increasingly targeting non-English speakers and immigrant communities.

September 13, 2022

Should the EU Regulate General-Purpose AI Systems?

Watch the Center for Data Innovation's discussion on the proposed amendments to the EU’s AI Act for general-purpose systems and its implications for AI development, innovation, and deployment in the EU and beyond.

July 20, 2022

Democracy Affirming Technology: Restoring Trust Online

Hodan Omaar presented at the "Democracy Affirming Technology: Restoring Trust Online" event, which identified and discussed solutions for some of the problems surrounding disinformation online, including the threat of deepfake information campaigns to national security and democratic values.

March 23, 2022

Book Talk on “Human-Centered AI” With Ben Shneiderman

Watch ITIF’s Center for Data Innovation for a conversation with Ben Shneiderman, whose new book calls for a “human-centered” perspective on AI, as opposed to a “technology-centered” focus, so as to better serve human needs.

July 14, 2021

How Can U.S. Policymakers Support the Development of Quantum Computing?

ITIF's Center for Data Innovation hosted a discussion about a new report exploring steps Congress and federal agencies can take to support quantum computing in the United States.

March 23, 2021

How to Deepen Transatlantic Cooperation in AI for Defense

ITIF's Center for Data Innovation hosted a video webinar to discuss the transatlantic opportunities and challenges to promoting better cooperation in military use of AI.

December 16, 2020

Book Talk on “Data Feminism” With Lauren Klein

ITIF's Center for Data Innovation hosted a conversation with Lauren Klein on her new book Data Feminism, co-authored with Catherine D’Ignazio.

December 10, 2020

How the Federal Government Can Increase Access to Supercomputing Across America

ITIF's Center for Data Innovation hosted a discussion on a new report exploring what steps Congress, the NSF, and the U.S. Department of Energy (DOE) should take to increase access to HPC resources for AI researchers in the United States.

October 14, 2020

How Will Quantum Computing Shape the Future of AI?

ITIF’s Center for Data Innovation hosted a discussion about the impact quantum computing will have on AI, the current state of the field and near-term challenges, and the role that policy can play in accelerating this paradigm shift in computing and AI.

July 9, 2020

Digitalization: Driving Energy Efficiency for a Connected Future

ITIF hosted a discussion with industry leaders on the role of digitalization in driving energy efficiency gains across the economy, and the release of a new ITIF report assessing the concerns—some legitimate and most not—regarding the energy and environmental impacts of the tech sector.

More Events & Presentations by Hodan Omaar

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