  Artificial intelligence (AI) holds great promise to empower us with knowledge
and augment our effectiveness. We can -- and must -- ensure that we keep humans
safe and in control, particularly with regard to government and public sector
applications that affect broad populations. How can AI development teams
harness the power of AI systems and design them to be valuable to humans?
Diverse teams are needed to build trustworthy artificial intelligent systems,
and those teams need to coalesce around a shared set of ethics. There are many
discussions in the AI field about ethics and trust, but there are few
frameworks available for people to use as guidance when creating these systems.
The Human-Machine Teaming (HMT) Framework for Designing Ethical AI Experiences
described in this paper, when used with a set of technical ethics, will guide
AI development teams to create AI systems that are accountable, de-risked,
respectful, secure, honest, and usable. To support the team's efforts,
activities to understand people's needs and concerns will be introduced along
with the themes to support the team's efforts. For example, usability testing
can help determine if the audience understands how the AI system works and
complies with the HMT Framework. The HMT Framework is based on reviews of
existing ethical codes and best practices in human-computer interaction and
software development. Human-machine teams are strongest when human users can
trust AI systems to behave as expected, safely, securely, and understandably.
Using the HMT Framework to design trustworthy AI systems will provide support
to teams in identifying potential issues ahead of time and making great
experiences for humans.
