Category: Family

  • When Compliance Meets Motherhood

    When Compliance Meets Motherhood

    There are moments in motherhood when everything you thought you knew about systems, rules, and processes collapses. Suddenly, frameworks and theories that once felt important become invisible, and what matters most is clarity, trust, and simply being seen.

    Recently, our four-year-old daughter had an emergency that no parent ever wants to face. It began innocuously: a little sneezing, a runny nose, and the usual nightly coughs she sometimes gets. But by midnight, she was complaining of tummy pain. Shortly after passing stool at 4.00 a.m., she went back to bed. When we performed our regular home monitoring, alarming oxygen readings appeared. Thankfully, my husband and I were awake, and we rushed her to the nearest hospital for emergency care.

    The First System: Compliance Without Context

    At 4.30 a.m., on arrival, our daughter was active, responsive, and not in visible distress, yet objective findings soon told a different story. She developed a fever, required oxygen support, and chest imaging suggested a lung infection.

    From a compliance standpoint, many things were done correctly: She was assessed promptly, nebulisation was initiated, investigations were ordered, oxygen therapy was provided, and antibiotics were started – On paper, the system worked. And I supposed all the right checkboxes were ticked.

    Yet, as the hours passed, what became increasingly difficult was not the medical treatment itself, but the absence of a clear narrative. There was no consolidated explanation of what we were dealing with, what the working diagnosis was, or how decisions would evolve over time. When we asked about the treatment plan, we were told that clarity depended on historical medical records that had yet to be gathered. When we asked when she could go home, the answers ranged from indeterminate to open-ended.

    We found ourselves in a strange and exhausting position. We were expected to supply comprehensive medical history while being excluded from meaningful clinical reasoning. At times, we felt interrogated rather than consulted. As we sat in the ward, watching monitors beep, I realised something that had been true in my professional life but felt different now:

    “Compliance without communication is hollow. It can protect institutions, but it does little to protect the people inside them.”

    Stakeholder Management in Real Time

    In organisational terms, a hospital environment is a complex stakeholder ecosystem. Doctors, nurses, specialists, administrators, insurers, and families all operate under different constraints, incentives, and pressures. And parents, we discovered, are stakeholders too — high-stakes, emotionally invested stakeholders.

    At one point, we informed the team of our intention to transfer her to another hospital, where her primary pediatrician and past records were accessible. Immediately, caution was heightened. Concerns about her stability were raised, insurance processes were discussed, and the discharge process slowed. During that moments, we were told:

     “If you’re more comfortable there, you are free to go…”

    “You cannot expect same level of explanation coming from two different hospitals – because our workloads are different”.

    I remember sitting there, processing those sentences, quietly, in my head. Our concern was never about comfort. It was about clarity, continuity, and confidence in decision-making. The invocation of workload — while real — shifted the conversation from care to defensiveness. It was a reminder that:

    “Compliance alone, even if done well, does not build trust. Communication does. Empathy does.”

    This pull-and-tug game left us confused about the hospital’s primary concern — was it patient care, or something else?

    Making a High-Stakes Decision

    Transferring our daughter was not a light decision. She was still on oxygen support, and any movement carried risk. Yet staying without clarity carried its own danger — prolonged uncertainty and anxiety that could affect her care and our ability to advocate effectively.

    We coordinated with the receiving hospital, the insurance provider, and ambulance services. Everything aligned, technically. What remained uncertain was whether the originating hospital would release her. We were tired, anxious, and carrying an invisible weight — the responsibility of making high-stakes decisions with only partial information.

    We prayed hard to God for ease, for the best care for our daughter, and for clarity so we could be better parents to her.

    Eventually, our daughter was discharged and transferred by ambulance late at night. My husband accompanied her in the ambulance, while I followed in our car. He remembers sitting next to her, holding her hand, whispering encouragement as the vehicle navigated quiet streets. The night was cold, the lights blurred past, and yet there was a strange sense of relief….

    The Power of Clarity and Communication

    At the receiving hospital, things felt different immediately. Our daughter – is back to her original self – active, responsive, and not in visible distress, and thankfully it reflected the same in the monitors. Her oxygen stabilised between 98–100 percent. BP was slightly high, but we were told its normal considering what she has been through. The hospital ordered a repeated blood test for caution since the initial hospital didn’t share any significant report. Imaging, however, was deemed necessary because she wasn’t coughing on arrival. They did Covid and Influenza to rule out other common infections. Our daughter settled that night, sleeping peacefully in her ward upon admission, without requiring oxygen support.

    The next day, in the morning, first thing first, we met the specialist overseeing her care.

    From the first moments, he synthesised her history, prior admissions, and symptoms with confidence and clarity. He explained that what our daughter was experiencing was consistent with asthma: not just narrow airways, but an over-reactive defence system. In some children, the breathing tubes are more sensitive than usual. When exposed to triggers — viral infections, cold air, allergens — the body reacts too strongly. The airway walls swell, muscles tighten, and mucus increases, making breathing harder, especially during sleep. He explained triggers, night-time patterns, and the importance of both reliever and preventive medication. Most importantly, he framed uncertainty rather than dismissing it.

    For the first time since admission, we were not just receiving care. We were receiving understanding.

    And during this hospital stay, compliance was still present: documentation, counselling sessions, careful monitoring, and discharge planning. But compliance was paired with explanation. When our daughter experienced a brief episode of respiratory discomfort at night, discharge was delayed — not as a default, but as a conscious clinical decision, fully explained to us.

    We also met asthma counsellors who walked us through triggers, inhaler technique, warning signs, and long-term expectations. Through this, I realised that:

    “Compliance alone cannot replace clarity. Rules and protocols can exist, but stakeholders, need context, guidance, and partnership. Most importantly, they need humane interactions.”

    Reflections Beyond Healthcare

    This experience stayed with me not because of one hospital or another, but because it revealed something universal. In any system — healthcare, education, governance, or corporate environments:

    “Compliance without communication breeds frustration. Stakeholders do not resist rules; they resist opacity.”

    Workload is real. Constraints are real. Systems are under pressure. But when those realities are presented without empathy or context, they alienate the very people the system exists to serve – THE STAKEHOLDERS.

    As leaders and professionals, we often ask stakeholders to trust the process. Trust, however, is not demanded. It is built — through transparency, shared understanding, and respect.

    Our wish is simple. We wish that the first hospital had been upfront with us:

    “Your child’s history is critical. Would you like to transfer to a hospital where records and her pediatrician are accessible?”

    Being upfront would not have bypassed protocol. It would have been humane.

    In this context, as parents, we are expected to know everything, but in that moment, all we knew was that our child was sick, her oxygen levels were unstable, and she needed help. That is when we rely on the system — and the people within it — to guide us.

    Being humane does not mean bending rules or bypassing protocol. It means recognising that parents in crisis are already overwhelmed and that clarity is a form of care.

    Parents do not carry clinical expertise. In moments of crisis, they carry anxiety, exhaustion, and responsibility for a child who cannot advocate for herself. Medical professionals, on the other hand, carry knowledge, pattern recognition, and decision-making authority. When those two roles are not intentionally aligned through communication, parents are left to shoulder decisions they are not equipped to make alone.

    Being humane, in this context, does not mean abandoning protocol or bypassing governance. It means recognising that clarity is part of care. This is where stakeholder management becomes real.

    In theory, stakeholders are parties with interest, influence, or impact. In my story, parents are the most emotionally invested stakeholders in any paediatric system — yet often the least empowered.

    “Managing stakeholders well does not mean appeasing them. It means engaging them appropriately, with respect for their capacity and their limits.”

    What stayed with me from this experience was not a single decision or outcome, but the reminder that expertise without empathy can feel isolating, and empathy without structure can feel unsafe. When both coexist, systems function not just efficiently, but humanely. When one is prioritised at the expense of the other, the cost is not always clinical — sometimes it is relational, psychological, and long-lasting.

    Lessons in Motherhood

    Being a first-time mother, I have come to realise that motherhood is not just about feeding, teaching, or soothing. Sometimes, it is about navigating complexity, advocating fiercely, and learning lessons from the most unexpected places.

    Through this experience, I learned, as a mother, that your voice matters. In situations that feel overwhelming or high-stakes—especially when your child’s safety and health are involved—it is essential to speak up, ask questions, seek clarity, and advocate for alternatives if something doesn’t feel right, while making sure you have the right resources and support to care for your child effectively.

    As a professional, I learned that clarity should take precedence over compliance, communication over procedure, and partnership over hierarchy. Ultimately, a system built for humans must be treated with humane rituals and feels; it is through empathy, understanding, and intentional care that systems truly serve those they are designed for.

    Today, our daughter is stable, cheerful, and adjusting to her new asthma management plan. She plays, sleeps, and laughs as she always does, blissfully unaware of the anxiety-filled nights we endured. And I carry with me a quiet gratitude for the healthcare workers who met us with clarity, empathy, and responsibility across two very different systems.

    Alhamdulillah.

    “Compliance without compassion is incomplete governance. Good systems anticipate human limitations. Great systems actively support stakeholders through them.”

    That, perhaps, is the highest standard of a system I aspire to build one day.

  • What I Know About AI: Lessons from My Daughter

    What I Know About AI: Lessons from My Daughter

    This all began one evening when I asked my husband:

    “What is AI?”

    He, being the natural technologist in the house, gave me an explanation that sounded like the beginning of a sci-fi movie — CNN, RNN, deep learning, Transformers, machine reasoning. He spoke confidently, enthusiastically… and I just stared at him thinking, excuse me, “what language is this?

    He gave me the gist of it, but the jargon did not land. It didn’t even walk past me; it flew over my head. But it sparked something. I was curious. I did what I always do when I don’t understand something — I kept asking questions. I know that to make sense of it, I needed to relate it to something I knew. So, I asked him, “Can I say AI is like a brain?

    He smiled and said, “Kind of — but only on the outside. It has ‘neurons,’ but they’re just math functions, not real cells. It recognises patterns, connects information, and gets better the more data it sees. That’s why it can predict things or even generate text and images. But it doesn’t understand, feel, or think. It just follows patterns — really, really fast.”

    And that’s when it clicked to me – the cue for me to relate AI to “the way humans learn language?” That was my anchor — my English degree, my experience teaching early literacy to trainee teachers, and my personal journey teaching my daughter to speak, read, write, imagine, and express herself.

    • CNNs learn to recognise shapes and patterns → like children learning letters
    • RNNs learn sequences → like children learning phonics, grammar and sentence flow
    • Transformers learn context and meaning → like children understanding stories – begin self-correction and making sense of context and meaning.
    • Generative AI produces creative outputs → like children creating stories, drawings, ideas.

    The analogy may seem a bit far-fetch at first, but it makes sense to me and the moment he explained AI using the language of human learning, everything clicked. Suddenly AI wasn’t this mysterious, robotic monster. It was something familiar. Something I could relate to.

    It also reminded me of something important: humans learn best when learning is made meaningful. When someone meets us where we are. That is something technology can never replace — the human ability to turn confusion into understanding by connecting something new to something known.

    And so, the more I learned about AI, the more I saw the parallels with child development — especially through the milestones I watched my daughter achieve.

    The Early Stage: Pattern Recognition

    When my daughter was very young, I was amazed at how she absorbed the world around her. She was surrounded by books, alphabet toys, labels, and other print-rich environments. Reading and exploring print was our shared activity, alongside playing with toys. I still remember when she was about 22 months old — we were on the bed, flipping through her favourite book on animals, when she suddenly read the word “Lion” as we pointed to it. Encouraged, we moved on to another word — “Roars” — and she read that too. “Roars…” she said. We were both stunned! She was not yet two, and she could read. By the age of two, she was already recognising letters and reading more books with simple words, scanning letters, connecting shapes to sounds, and recognising familiar sequences.

    I relate this stage of learning “Print Awareness” to Convolutional Neural Networks (CNNs) in AI. CNNs are designed to detect patterns in images or text. They don’t understand meaning yet, but they scan, observe, and link visual cues together. Just like at “Print Awareness” stage, a child notices:

    • this shape is “A”
    • this curve is “B”
    • print is read from left to right
    • this pattern appears in words
    • this colour means something familiar

    In schools, CNNs can scan handwritten assignments, diagrams, or worksheets, quickly identifying key features for review. Both child and AI start by absorbing and recognising — understanding and meaning come later. Exposure, repetition, and guidance are key in both cases.

    Sequence and Context: Learning Rules

    As children grow, their learning becomes more structured. Just as my daughter could recognise letters and read simple words, she was also tuning into sounds. She learned that “c-a-t” makes /cat/, and that some letters sound different in different words. This early phonological awareness helped her predict and decode words.

    By age three, she had begun forming her own sentences. She experimented with grammar, understood simple sequences, and anticipated what might come next in a story. I still remember her coming home from school and telling me, “Ibu, I ate candy at school today. I want to eat ice cream at home.” The fact that she intuitively used ate — the past tense — to describe something that happened earlier shows how she was internalising rules of sequence and time.

    I see this similar to how an RNN processes sequences to anticipate the next item in a pattern. They process information in sequence, remembering what comes before to guess what comes next. In language, this is what happened at “Phonological Awareness”/ “Decoding” stage – a child began to understand rhyme, syllables and sound patterns, meaning:

    • What word fits this sentence?
    • What sound completes this pattern?
    • What comes after “once upon a time”?

    In education, RNNs help with context-aware feedback — tracking progress, guiding writing, and supporting problem-solving. Like children, AI improves with practice, feedback, and repeated exposure. Both need structured guidance to connect patterns with meaning.

    Understanding Meaning: Transformers and Deep Learning

    By four, my daughter wasn’t just reading words — she was reading stories. She could finish whole books, imagine different endings, interpret characters’ emotions, and even create stories from pictures. She was expressing herself through play — making cakes or figures with playdoh, turning imagination into tangible creations, connecting ideas, interpreting narratives, and experimenting with expression.

    This stage aligns with Transformers and deep learning models in AI, which can analyse long sequences of information, attend to multiple inputs simultaneously, and generate coherent and meaningful outputs. In the classroom, this allows AI to summarise complex texts, connect ideas across subjects, and provide explanations that make abstract concepts accessible. Like a child weaving meaning a through life experience. AI links meaning statistically through patterns in massive data (without human intuition, empathy, or curiosity) but the outcome looks similar.

    Creation: Generative AI as the Adolescent Stage

    Once a child internalises patterns, sequences, and context, the ability to create independently begins to emerge. My daughter’s storytelling, imaginative play, and hands-on crafting reflect this perfectly. She can invent stories, transform prompts into drawings, and craft playdoh figures, bringing her imagination to life. She is only four, and yet I can already see the beginnings of her creative identity forming — her ability to turn raw input into something uniquely hers.

    Generative AI mirrors this creative stage. Tools like:

    • ChatGPT, Grok, and Gemini generate text
    • DALL·E, MidJourney, and Stable Diffusion create images from textual prompts
    • Runway or Luma AI produce videos or animations.

    These tools produce outputs that appear imaginative, even artistic. Yet, unlike a child, AI’s “creativity” is not curiosity-driven — it is pattern-driven. Still, it opens doors for humans to express ideas faster, more freely, and more boldly.

    The way I see it, in education, Generative AI allows students to experiment, ideate, and create, much like a child turning ideas into tangible expressions. It becomes a co-learner, amplifying creativity, providing inspiration, and supporting exploration, while human guidance ensures that creativity remains meaningful, purposeful, and ethical.

    Autonomy: Agentic AI and Independent Learning

    The final stage is autonomy. Just as a young adult can act independently, make decisions, and plan towards goals, agentic AI can also make decisions and take actions towards specific objectives.

    My daughter is only four, so she is just beginning to experiment with decision-making.

    Just today, I asked her what she wanted to watch on TV, and without hesitation she said, “I want to watch Mr. Bean Holiday.” When I asked, “Why?”, her answer didn’t just explain her reasoning — it revealed her feelings: “Because you are busy. I want to watch something fun, and Mr. Bean always has silly face.”

    These small moments — choosing which story to read, deciding how to build her playdoh figures, or imagining her own endings to a familiar story — show early glimpses of independence. And none of these moments happen in isolation. Her autonomy is shaped by her exposure, our guidance, and the richness of her environment. Her choices emerge from her experiences.

    Autonomy in AI works the same way. It is not independence without oversight. Like a young adult guided by mentorship, values, and experience, agentic AI requires human supervision to ensure it acts in alignment with fairness, ethics, and purpose.

    In education, this means AI can help students explore independently, suggest learning pathways, or make small decisions within simulations or projects. Yet it is never a substitute for a teacher, mentor, or human values. Autonomy in AI is most powerful when it is guided — because no matter how fast or “smart” it appears, its judgement is never lived, felt, or human. Ultimately, it is still human experience, ethics, and wisdom that shape the way AI acts.

    Truth is, AI and the brain is not an apple-to-apple comparison. AI grows exponentially faster than any child. What takes a child months or years to master, for example, reading fluently, writing stories, or solving complex problems — AI can process in seconds or hours. CNNs analyse millions of images in moments. RNNs and Transformers process long sequences of language almost instantly. Generative AI can produce stories, images, or videos in the blink of an eye.

    AI is, in this sense, a child prodigy on steroids. Speed and scale are astonishing, but unlike a child, AI lacks intuition, curiosity, emotional understanding, and lived experience. These human qualities remain essential, which is why education must remain human-centered.

    What does it mean by this? “Humanising Learning Through AI”?

    Raising my daughter has shown me that learning is never just about exposure to knowledge. It is about curiosity, creativity, resilience, and ethical reasoning. Means, as parents we can create the richest environment, provide every resource, and guide every step — but if she herself doesn’t have the curiosity to explore, the courage to try new things, or the desire to understand, all effort becomes meaningless.

    Learning requires will, and that will is uniquely human. AI does not have it. That is what sets humans apart.

    Much like, in education, AI can amplify human potential, but it cannot replace the teacher — the mentor who inspires curiosity, nurtures critical thinking, and models empathy. AI can support, guide, and extend learning, but it cannot feel, reflect, or care. Its strength lies in partnership with humans, not in autonomous learning.

    AI can help:

    • Personalise learning: Identify gaps, recommend resources, and guide students along tailored pathways.
    • Amplify creativity: Encourage storytelling, problem-solving, and imaginative play — much like a child turning prompts into stories or playdoh creations.
    • Reduce administrative load: Automate grading, track progress, and provide instant feedback.
    • Promote critical thinking: Encourage students to evaluate outputs, reason independently, and make informed decisions.

    Used thoughtfully,

    AI is a partner in learning.

    It can articulate ideas and support creative processes, but it cannot act autonomously in the real world or replicate human emotional intelligence. Leveraging on it means we are enabling students and teachers to focus on what matters most – curiosity, creativity, connection, and meaning. Its value is unlocked only when paired with human guidance, reflection, and oversight.

    I hope for a future where AI amplifies human potential without replacing the human touch, where students can dream, explore, and create, guided by both technology and the wisdom, empathy, and values of human educators. AI can be fast, powerful, and generative — but it is the human heart, guidance, and insight that give learning its meaning. That is the future I aspire to — for education, for AI, and for the next generation of learners.

  • The Quiet Architecture of Home

    The Quiet Architecture of Home

    Home is where comfort rarely announces itself. It does not arrive with grand gestures or dramatic declarations. It begins quietly — in the rhythm of familiar routines, in the warmth of places that have shaped us, and in the choices we make when no one is watching.

    In the home I was raised in, comfort was woven into the everyday. When something needed attention, someone stepped forward. Meals appeared with gentle consistency. Days unfolded with structure that felt natural rather than imposed. No questions were asked. No reminders were needed. It was an unspoken understanding that the wellbeing of the household flowed from awareness and presence. At the time, nothing felt extraordinary. It simply felt normal — the way life is when comfort is a constant companion. Only later did I realise how deeply these quiet moments settled into me. They shaped my sense of safety, my rhythm, and the way I learned to move through the world with calm intention.

    Where some people find comfort in extravagant experiences, mine grew from necessity — the simple, grounding acts of daily living. I learned to anticipate needs, to respond without fuss, and to maintain a steady centre even when life became uncertain. What others may have labelled responsibility, I understood as belonging — a natural alignment with the flow of home. As I grew older, this rhythm stayed with me. I entered new spaces with an instinct for restoring order, bringing calm, and creating clarity. Not because I sought control, but because I carried with me the invisible habits of a life built on quiet steadiness. I noticed what felt out of place. I sensed when something needed attention. I found comfort in making things flow.

    But the heart of home is not built on action alone. It is shaped through observation, reflection, and emotional understanding. From my mother, I learned endurance (not the glamorous, motivational kind, but the practical kind that comes from doing what needs to be done even when you’re exhausted). She worked hard, showed up, and kept going. That kind of strength leaves a mark. From my father, I learned something quieter – the truth that absence can teach as much as presence. It taught me empathy. It taught me independence. It taught me that people are complicated and loving them means acknowledging their humanity without letting their choices define your worth. And through them both, I learned that comfort is not the absence of tension; it is the ability to sit with it without breaking.

    Life, too, added its lessons. Misunderstandings happen. Feelings get bruised. People drift in ways we cannot predict. But these moments do not erase comfort — they remind us that true comfort is found not in perfection, but in clarity, boundaries, and the courage to return to oneself. With time, I learned that comfort is not a place; it is an alignment — with your values, your pace, your inner quiet. And sometimes, maintaining that comfort means taking space, pausing, breathing, choosing yourself gently.

    As the years unfolded, marriage and motherhood did not transform my sense of home — they deepened it. They became additional rooms within the house I had already built inside myself. My husband brought stability, not definition. His presence created a soft landscape where my thoughts could settle. He did not complete me; he simply made space for me to be more fully myself. Motherhood softened me in ways that sharpened my awareness. My daughter reminded me that tenderness is a kind of strength, and that slowing down is sometimes the most powerful thing we can do. Through her, I learned that home can also be found in small hands, quiet mornings, and the simplicity of being present.

    None of these experiences reduced me. They rooted me.

    Looking back, I see that the comfort of home has always been built from small, deliberate pieces:

    • From childhood: rhythm and familiarity
    • From my parents: endurance, empathy, and gentleness
    • From challenges: clarity and inner steadiness
    • From marriage and motherhood: groundedness, warmth, and perspective

    These are not lessons written in manuals. They are the soft truths that shape how we breathe, how we carry ourselves, and how we return to ourselves after long days.

    The comfort I know today is created from the quiet architecture of home — built from intention, anchored in calm, and held together by the subtle strength of a woman who knows where she belongs, within herself and within the spaces she chooses to hold close.

    And in all its quiet forms, home remains the place I return to — not for shelter, but for the sense of self it softly restores. 😊