± SPORTS Machine learning (ML) applications continue to grow in popularity across the sport industry, offering new opp…+ LABOR As governments worldwide seek to modernise public administration through digital technologies, understanding…± HEALTH Background: Artificial intelligence (AI) is widely used in mental health care for screening, monitoring, and…± HEALTH (1) Background/Objectives: Over one billion individuals globally live with mental health conditions, yet the…± HEALTH Artificial Intelligence (AI) deployment in healthcare is accelerating, yet governance frameworks remain fragm…− HEALTH ChatGPT Health was launched in January 2026 as OpenAI's consumer health tool and has reached millions of user…+ EDUCATION This study investigates the effectiveness of AI-enhanced pedagogical practices on improving the mathematical…+ POLICY This study examined how users’ perceptions of algorithmic influence and AI manipulation are associated with k…
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TRV-2026-0133Certified recordPeer-reviewed

Beyond Generative Intelligence: A Comprehensive Review of Emerging Artificial Intelligence Paradigms, Explainability Challenges, Ethical Risks, and Future Directions

The artificial intelligence landscape has undergone a profound transformation from narrow, task-specific automation to sophisticated, multi-paradigm systems capable of autonomous reasoning, emotional understanding, and creative generation. This systematic literature review synthesizes 141 peer-reviewed studies published between 2018 and 2026 to map the evolution of AI paradigms beyond the dominant Generative AI breakthrough. Following PRISMA guidelines, we analyzed 4,250 initial records across six major academic…

Crime · P Space — documented harm · certified 2026-07-13 · v1 · article view · machine-readable

Current reading — problem

AI systems exhibit a persistent black box problem that blocks trust and adoption in high-stakes domains including healthcare, finance, and criminal justice, while dark AI uses like deepfakes and AI-powered cyberattacks create governance risks.

What this doesn’t fix

The proposed Integrated AI Ecosystem Framework remains conceptual and has not undergone empirical validation, which the authors identify as a future research priority.

Evidence

Reader signal

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Truvace Impact Record TRV-2026-0133, v1: “Beyond Generative Intelligence: A Comprehensive Review of Emerging Artificial Intelligence Paradigms, Explainability Challenges, Ethical Risks, and Future Directions.” Truvace, 2026-07-13. /record/TRV-2026-0133 (accessed at citation time). sha256 9d2cef76957710f9…

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