Hodan Omaar
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
Comments to the Senate Subcommittee on Consumer Protection, Product Safety and Data Security on “The Need for Transparency in AI”
The biggest risk to consumers is that the myriad opportunities AI offers will not be translated into all the areas where they can make a positive difference in people’s lives.
No, We Aren’t in an Oppenheimer Moment for AI
Oppenheimer, has many people drawing parallels between the control of nuclear weapons and the calls to curb AI. But developing and deploying powerful AI systems is not like developing and deploying the atomic bomb.
Three Guidelines for Crafting a Strong Federal AI Policy
The White House is developing a national artificial intelligence strategy to “chart a path for the United States to harness the benefits and mitigate the risks of AI.” Previous administrations and Congress have taken some steps toward this in the past, but those efforts did not go far enough.
Comments to the OSTP Regarding National Priorities For Artificial Intelligence
A national AI strategy is necessary to bolster U.S. competitiveness, strengthen national security, and maximize the societal benefits that the country could derive from AI.
Senator Schumer’s Proposal for AI Legislation Is on the Right Track
Senate Majority Leader Schumer (D-NY) launched a two-pronged proposal last week for a U.S. policy approach to AI. While the proposal lacks a clear call to promote widespread AI adoption, the Senator offers a sensible path to generating AI policy that remains innovation-friendly and balanced.
Preparing for an AI Apocalypse Is as Preposterous as Preparing for an Alien Invasion
Several AI industry leaders and researchers signed an outlandish statement this week claiming AI systems pose an existential risk to humanity and urging policymakers to prepare for them with the same urgency they give nuclear war and pandemics. Their doomy predictions are nothing more than catastrophizing, but unfortunately, such hyperbolic claims fan the flames of AI fears and detract from productive discussions on how to ensure AI is developed and deployed in ways that serve society.
Senator Schumer Should Maintain Resolve in the US Approach to AI Regulation
In response to China announcing draft regulations for generative AI to bolster the Chinese Communist Party’s influence on global AI rules, Senate Majority Leader Chuck Schumer (D-NY) unveiled a proposal last month to regulate AI in the United States. Senator Schumer should keep faith in—and advocate for—a light-touch approach to AI regulation because it provides a much-needed counter to the heavy-handed regulatory approach from China and the EU.
US Regulators Should Support the Adoption of AI That Addresses Human Bias
U.S. regulators should develop a plan to support AI systems that address bias in existing human-led processes.
Claims About Generative AI Replacing Jobs Are Hyperbolic and Misleading
The central message from the news media is clear: AI is here to take almost all the jobs, not just the blue-collar ones, the white-collar ones too. The problem is, many of the claims are hokum.
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.
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.
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.
Recent Events and Presentations
FP Tech Forum @ UNGA78
Hodan Omaar speaks at Foreign Policy's FP Tech Forum during the 78th annual UN General Assembly. She joins an expert panel to explore how technologies are shaping geopolitics and development around the world.
Artificial Intelligence & Innovation: AI Use Cases Across Sectors
Gillian Diebold and Hodan Omaar speak about artificial intelligence and how it will impact different sectors of society at a webinar hosted by the Internet Law & Policy Foundry.
What Should Congress Include in The Next National Quantum Initiative Act?
Watch the panel discussion on what the NQIA got right, where there is room for improvement, and what policymakers should do next.
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.
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.
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.
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.
How Can the EU Encourage the Private Sector to Share Mobility Data for Social Good?
ITIF’s Center for Data Innovation held a panel discussion on how policymakers can maximize social good by encouraging the reuse of aggregated, anonymized, private-sector mobility data while protecting individual users’ privacy.
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.
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.
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.
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.