Ethics in human–AI teaming: principles and perspectives

Abstract

Ethical considerations are the fabric of society, and they foster cooperation, help, and sacrifice for the greater good. Advances in AI create a greater need to examine ethical considerations involving the development and implementation of such systems. Integrating ethics into artificial intelligence-based programs is crucial for preventing negative outcomes, such as privacy breaches and biased decision making. Human–AI teaming (HAIT) presents additional challenges, as the ethical principles and moral theories that provide justification for them are not yet computable by machines. To that effect, models of human judgments and decision making, such as the agent-deed-consequence (ADC) model, will be crucial to inform the ethical guidance functions in AI team mates and to clarify how and why humans (dis)trust machines. The current paper will examine the ADC model as it is applied to the context of HAIT, and the challenges associated with the use of human-centric ethical considerations when applied to an AI context.

Revisiting the role of HR in the age of AI: bringing humans and machines closer together in the workplace

“…In phase three, new perspectives of human-AI integration at work are extending to neural integration, where AI tools are embedded into humans (e.g., mind-controlled machines, neurolinks, intelligent prostheses) to enhance human capabilities or human cells are used in bioengineering for the development of organoid intelligence (e.g., Morales Pantoja et al, 2023 ). With the emergence of advanced integrated human-AI tools and interfaces, we predict that HRM will continue to focus on developing strict adherence to ethical rules (e.g., Pflanzer et al, 2023 ). The HRM community will also influence regulators to enforce more human-centric policies.…”

Human-Agent Teaming: A System-Theoretic Overview

“…As we have already discussed, transparency and explainability are critical for enabling the human in human-agent teams to understand and decide whether to trust an AI agent. But ethical and social factors are also important in a larger societal context [137]. Understanding these social factors facilitates designing and deploying HAT systems to maximize their benefits while minimizing their risks and negative impacts on society [138], [139].…”

Space Trusted Autonomy Readiness Levels

“…Programming and implementing automation, autonomy, and AI to align with ethical principles is an important facet of trust. Ethics may be defined as "a set of reflected norms, rules, precepts, and principles that govern and guide the behavior of individuals or groups" [54]. As an example of how ethics might be applied to automation, autonomy, and AI, the U.S. Department of Defense has adopted ethical principles that AI be responsible, equitable, traceable, reliable, and governable [55].…”