Washington, D.C. – TechNet, the national, bipartisan network of innovation economy CEOs and senior executives, today issued a statement, attributed to President and CEO Linda Moore, in advance of President Biden’s Executive Order on artificial intelligence (AI):

“AI has the potential to help us solve the greatest challenges of our time. It is being used to protect critical infrastructure, defend against cyber threats, accelerate the development of new medical treatments, including life-saving vaccines and ways to detect earlier signs of cancer, increase crop yields, and predict severe weather more accurately.

“However, recognizing and addressing the genuine risks associated with AI is crucial for its responsible development. By addressing these concerns head-on, we can ensure we’re making the most of its benefits for all Americans.

“The U.S. must be the global leader in AI investment, development, and deployment to ensure it is implemented responsibly across the world. The Executive Order will strengthen America’s AI leadership. It will bolster our workforce through investments in upskilling and training programs and our ability to attract and retain the world’s best talent, policies TechNet has long championed. It will also lower the barrier to entry for AI research through the National AI Research Resource (NAIRR), strengthen our nation’s cyber defenses, especially in the financial sector, and improve health care and education outcomes.

“We appreciate President Biden’s continued leadership on AI. America must set the standards for the responsible development and deployment of AI for the world. We look forward to working with the Administration as they implement this Order and providing our recommendations to ensure AI policies provide an equitable, prosperous future for our nation and all who live here.

“Last week, we introduced our federal AI policy framework, and we will continue to work with the Administration, Congress, and federal agencies to ensure any AI policies benefit all Americans, address the risks, and strengthen our global competitiveness.”

Additional background on TechNet’s recent actions and leadership on AI policy:

  • Last week, TechNet released a comprehensive federal AI policy framework, which included recommendations for protecting the personal information of consumers, promoting innovation and our global competitiveness, identifying unintended bias and discrimination, and investing in upskilling and workforce training programs.
  • TechNet launched “AI For America,” a $25 million public affairs initiative to promote AI’s current and future benefits and educate and inform Americans on how AI is already improving their lives, growing our economy, and keeping us safe.
  • John Doerr, TechNet co-founder and Executive Council member and Chairman of Kleiner Perkins, and Steve Case, TechNet Executive Council member and Chairman and CEO of Revolution, recently participated in a Senate AI Insight Forum focused on innovation and global competitiveness.
  • TechNet hosted a marquee event on Capitol Hill that brought together over 250 interested parties and 25 expert speakers to discuss the positive impact AI is having and will have on all Americans from every walk of life. Congressman Jay Obernolte (R-CA), Google DeepMind Senior Research Director Douglas Eck, Getaround Founder and CEO Sam Zaid, Nasdaq Chief Technology Officer/Chief Information Officer Brad Peterson, and other industry leaders participated. You can watch the event here.
  • TechNet submitted comments to the Federal Elections Commission (FEC) urging them to enforce their existing authority on “fraudulent misrepresentation” and bar deliberately misleading campaign communications generated with AI.
  • TechNet submitted comments to the Office of Science and Technology Policy as they were developing their National AI Strategy.
  • TechNet submitted comments to the Office of Science and Technology Policy on automated systems in the workplace.
  • TechNet submitted comments to the National Telecommunications and Information Administration (NTIA) on AI system accountability measures and policies.