In a report for the Observer Research Foundation, Research Analyst Husan Chahal writes about the ethics of artificial intelligence and how the multitude of efforts across such a diverse group of stakeholders reflects the need for guidance in AI development.

Digital technology, the defining innovation of the last half century, has deep and unaddressed insecurities at its core. This paper, authored by two prominent technologists and strategic thinkers, argues that a new form of “digital environmentalism”—marked by a re-evaluation of our relationship to technology, growth, and innovation—is the only way to fix such insecurities, and to bring meaningful change to the digital world.

Allies of the United States have begun to develop their own policy approaches to responsible military use of artificial intelligence. This issue brief looks at key allies with articulated, emerging, and nascent views on how to manage ethical risk in adopting military AI. The report compares their convergences and divergences, offering pathways for the United States, its allies, and multilateral institutions to develop common approaches to responsible AI implementation.

Growing popular and industry interest in high-performing natural language generation models has led to concerns that such models could be used to generate automated disinformation at scale. This report examines the capabilities of GPT-3--a cutting-edge AI system that writes text--to analyze its potential misuse for disinformation. A model like GPT-3 may be able to help disinformation actors substantially reduce the work necessary to write disinformation while expanding its reach and potentially also its effectiveness.

The law plays a vital role in how artificial intelligence can be developed and used in ethical ways. But the law is not enough when it contains gaps due to lack of a federal nexus, interest, or the political will to legislate. And law may be too much if it imposes regulatory rigidity and burdens when flexibility and innovation are required. Sound ethical codes and principles concerning AI can help fill legal gaps. In this paper, CSET Distinguished Fellow James E. Baker offers a primer on the limits and promise of three mechanisms to help shape a regulatory regime that maximizes the benefits of AI and minimizes its potential harms.