Bio-Shaktism: Shaping Trustworthy AI through Cyclical Intelligence- Beyond the 24-Hour Clock

Most Human-Centred AI systems are built on a linear 24-hour model of productivity, where female endocrine variations are often treated as data noise or system error. This reveals a critical research gap: current inclusive AI lacks a cyclical, fault-tolerant architecture. To address this, I propose ‘Bio-Shaktism’, a novel framework reinterpreting female endocrine dynamics through resilient systems design. My methodology introduces a variable baseline model based on the 28-day infradian rhythm with four operational modes: Menstrual (System Calibration and Critical Evaluation), Follicular (Ideation and Strategic Planning), Ovulatory (Collaboration and Communication), and Luteal (Deep-Work and Detail Execution). I ground this framework in ‘Chandra Chakra’, an indigenous knowledge system from the Global South, creating a culturally rooted vocabulary for trustworthy AI. Operationalizing this, I introduce SAKHI (Systemic Alliance for Knowledge, Healing and Human-Centred Innovation) as its implementation model (Figure 1). I demonstrate its application across four domains: adaptive wearables, cyclical productivity systems, STEM mentorship, and an AI literacy pedagogy shifting users from passive tracking to critical, body-literate engagement with intelligent systems. This work shifts the paradigm from linear correction to cyclical adaptation.