Four Policies that Government Can Pursue to Advance Trustworthy AI –

This past July, DeepMind, an artificial intelligence (AI) lab in London, announced a groundbreaking discovery. Using an AI technology called AlphaFold, DeepMind was able to predict the shapes of more than 350,000 proteins, 250,000 of which were previously unknown, and help develop entire new lifesaving drugs and other biological tools, which is particular helpful in the fight against COVID-19.

Broadly, AI is poised to transform the way Americans work, socialize, and other numerous facets of our lives. Deepmind is not the only example of AIs benefits. AI has been cited to improve weather forecasting, make access to finance more inclusive, and keep fraudsters at bay. But like any technology, AI presents some risks too. To fully enable the benefits of AI, it is incumbent on policymakers to advance polices to facilitate trustworthy AI.

A recent report from the U.S. Chamber Technology Center (C_TEC) and the Deloitte AI Institutes highlights the proper role of the federal government in facilitating trustworthy AI and the importance of sound public policies to mitigate risks posed by AI and accelerate its benefits. Based on a survey of business leaders across economic sectors focused on AI, the report examines perceptions of the risks and benefits of AI and outlines a trustworthy AI policy agenda.

Through the right policies, the federal government can play a critical role to incentive the adoption of trustworthy AI application. Here are four key policy areas the government can pursue:

1. Conduct fundamental research in trustworthy AI: Historically, the federal government has played a significant role in building the foundation of emerging technologies through conducting fundamental research. AI is no different.

2. Improve access to government data and models: High quality data is the lifeblood of developing new AI applications and tools, and poor data quality can heighten risks. Governments at all levels possess a significant amount of data that could be used to both improve the training of AI systems and create novel applications.

3. Increase widespread access to shared computing resources: In addition to high quality data, the development of AI applications requires significant compute capacity. However, many small startups and academic institutions lack sufficient computing resources, which in turn prevents many stakeholders to fully access AIs potential.

4. Enable open source tools and frameworks: Ensuring the development of trustworthy AI will require significant collaboration between government, industry, academia, and other relevant stakeholders. One key method to facilitate collaboration is through encouraging the use of open source tools and frameworks to share best practices and approaches on trustworthy AI.

The United States has an enormous opportunity to transform its economy and society in positive ways through leading in AI innovation. As other economies contemplate their approach to trustworthy AI, this report outlines a path forward on how U.S. policymakers can pursue a wide range of options to advance trustworthy AI domestically, and empower the United States to maintain global competitiveness in this critical technology sector.

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Four Policies that Government Can Pursue to Advance Trustworthy AI -

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