Artificial intelligence (AI) technologies have become the key driver of innovation in society.
However, numerous vulnerabilities of AI systems can lead to negative consequences for …

The policy agenda is currently being established for artificial intelligence (AI), a domain
marked by complex and swee** implications for economic transformation tempered by …

Artificial intelligence (AI) presents new challenges for the user experience (UX) of products
and services. Recently, practitioner-facing resources and design guidelines have become …

Technology companies continue to invest in efforts to incorporate responsibility in their
Artificial Intelligence (AI) advancements, while efforts to audit and regulate AI systems …

Prompt-based interfaces for Large Language Models (LLMs) have made prototy** and
building AI-powered applications easier than ever before. However, identifying potential …

Privacy is a key principle for develo** ethical AI technologies, but how does including AI
technologies in products and services change privacy risks? We constructed a taxonomy of …

Audits are critical mechanisms for identifying the risks and limitations of deployed artificial
intelligence (AI) systems. However, the effective execution of AI audits remains incredibly …

An emerging body of research indicates that ineffective cross-functional collaboration–the
interdisciplinary work done by industry practitioners across roles–represents a major barrier …

How do software engineers identify and act on their ethical concerns? Past work examines
how software practitioners navigate specific ethical principles such as “fairness”, but this …

To analyze potential negative consequences of adopting generative AI solutions in the
digital afterlife industry (DAI), in this paper we present three speculative design scenarios for …