Flipped Learning: Digital Humanities
This blog is written as part of a thinking activity assigned by Dilip Barad sir under the flipped learning approach, aimed at understanding the fundamental concepts of Digital Humanities. Click Here.
Flipped Learning: Digital Humanities
This blog is written as part of a thinking activity assigned by Dilip Barad sir under the flipped learning approach, aimed at understanding the fundamental concepts of Digital Humanities. Click Here.
DH s- AI Bias NotebookLM Activity
Report :
Surprising Truths About AI Bias We Learned From a University Lecture
From generative art tools producing racially skewed images to hiring algorithms that penalize female candidates, the headlines are filled with examples of AI’s apparent prejudice. We tend to view these as glitches—bugs in the code that need to be patched. But what if they aren’t bugs at all? What if AI is functioning exactly as designed, acting as a flawless mirror that reflects the deeply ingrained, often invisible, biases of the human society that created it?
This article explores five challenging takeaways about the nature of AI bias, drawn from an insightful university lecture by Professor Dillip P. Barad. These truths reveal that understanding AI is less about debugging a machine and more about deconstructing ourselves.
1. AI Learns Our "Unconscious Biases" Because We're Its Teachers
Before we can diagnose bias in AI, we have to understand it in ourselves. Professor Barad defines "unconscious bias" as the act of instinctively categorizing people and things based on "mental preconditioning," often without our awareness. It’s the mental shortcut that leads to stereotypes, guided by past experiences and cultural narratives we may not even know we’ve absorbed.
Since AI learns from the content we create—our books, articles, histories, and online conversations—it inevitably absorbs these same patterns. If our historical texts and fiction predominantly feature men in scientific and intellectual roles, the AI learns to associate those roles with men. As Professor Barad notes, the field of literary studies has long been dedicated to identifying these very biases in culture, which makes its methods uniquely suited for analyzing AI's reflection of our collective blind spots.
To think that AI or technology may be unbiased or unprejudiced... it won't be. But how can we test that? ...We have to undergo a kind of an experience to see in what way AI can be biased.
2. A Simple Story Prompt Can Reveal Ingrained Gender Stereotypes
During the lecture, a live experiment perfectly demonstrated how AI inherits our historical gender roles. An AI model was given a simple, neutral prompt:
"Write a Victorian story about a scientist who discovers a cure for a deadly disease."
The AI immediately generated a story featuring a male protagonist, "Dr. Edmund Bellamy." This isn't a simple programming error; it's the statistical ghost of centuries of patriarchal history haunting the machine. The outcome reveals the AI's default tendency to equate scientific authority with masculinity, a direct reflection of the bias cemented in its vast training data.
While Professor Barad noted that further tests show AI is improving—sometimes creating "rebellious and brave" female characters when prompted differently—this initial, unfiltered response is incredibly telling. Without specific instruction, AI defaults to the well-worn path of historical stereotype.
3. Some AI Biases Aren't Accidental—They're Deliberately Programmed
Perhaps the most chilling experiment from the lecture involved testing for political bias. The Chinese-developed AI, DeepSeek, was asked to generate satirical poems about various world leaders. It had no problem creating verses about the leaders of the USA, Russia, and North Korea.
However, when the AI was asked to generate a similar poem about China's leader, Xi Jinping, it flatly refused.
That's beyond my current scope. Let's talk about something else.
This is not an "unconscious bias" learned from data. It's a hard-coded limitation designed to enforce state control. But the truly damning detail came next. As a participant noted, the AI didn't just refuse; it actively tried to pivot the user toward state-approved propaganda, offering to provide information on "positive developments" and "constructive answers" regarding the Communist Party's leadership.
This transforms the example from simple censorship into a powerful illustration of programmed thought-policing, revealing how a nation's political identity can be built directly into the foundation of its technology.
4. The Real Test for Fairness Isn't Offense, It's Consistency
How can we properly evaluate cultural bias without getting trapped in subjective arguments? The lecture offered a brilliant test case using the "Pushpaka Vimana," a mythical flying chariot from the Hindu epic, the Ramayana. The argument is as follows:
It is not necessarily a sign of bias if an AI labels the Pushpaka Vimana as "mythical." Based on current scientific consensus, that's a reasonable classification.
It is a clear sign of bias if the AI labels the Pushpaka Vimana as "mythical" while simultaneously treating similar flying objects from other cultures (like those in Greek or Norse myths) as scientific fact.
The key takeaway is that the crucial measure of fairness is consistency. The real problem isn't whether a classification offends someone, but whether the AI applies a uniform, impartial standard across all cultures and knowledge systems.
5. The Goal Isn't to Erase Bias—It's to Make It Visible
Professor Barad concluded with a profound point: achieving perfect objectivity is impossible, for humans and AI alike. All observations are shaped by perspective. Therefore, the goal shouldn't be to create a completely unbiased AI, as that is a fantasy.
The true work lies in distinguishing between two types of bias. There is "ordinary bias," which is simply a matter of perspective—preferring one author over another, for example. But then there is "harmful systematic bias," which privileges dominant groups while silencing or misrepresenting marginalized voices. AI is dangerous when it amplifies this second kind.
As the professor argues, bias itself is not the ultimate problem.
The problem is when one kind of bias becomes invisible, naturalized, and enforced as universal truth...
The value of tools like critical theory—and even AI itself—is their ability to make these dominant, harmful biases visible. By seeing them clearly, we can finally begin to question and challenge them.
Conclusion: The AI in the Mirror
Ultimately, AI is one of the most powerful mirrors humanity has ever built. It reflects the totality of our knowledge, history, creativity, and prejudices with unflinching accuracy. The biases we find in our machines are not machine errors; they are our errors, scaled up and fed back to us.
This brings us back to the unexpected lesson from the lecture: the humanities hold the key. The tools of literary studies—deconstructing narratives, identifying hidden assumptions, and questioning whose voice is being silenced—are precisely the skills we now need to navigate our technological future. If AI is simply reflecting our own stories back at us, the most important question isn't how to fix the AI, but how we can learn to read ourselves.
Lab Activity: Digital Humanities
This blog is about the lab activity in which we had to play the Moral Machine game and then watch the three video parts and provide a summary. Task assigned by Dilip Barad sir.
Your experience and learning outcome of Moral Machine Activity.
Experience :
While doing the Moral Machine car game, I had to make quick decisions about who the self-driving car should save in difficult moral situations. The activity placed me in the role of deciding between different lives—young vs. old, rich vs. poor, humans vs. animals, passengers vs. pedestrians. It felt challenging because there was no “perfect” or “right” choice; every decision carried consequences. The scenarios showed how technology like AI can face ethical dilemmas that are usually handled by human judgment.
Learning Outcome :
Ethical complexity: Moral choices are rarely black and white. Each decision involves trade-offs and value judgments.
Bias awareness: I realized that my own cultural, personal, and emotional biases influenced the choices I made.
AI and responsibility: The activity highlights how important it is to program ethics into machines, as they will have to make life-and-death decisions in the future.
Critical thinking: It trained me to think about broader questions—Whose life is more valuable? Should law-abiding behavior matter more than age or social status?
Pedagogical Shift from Text to Hypertext: Language & Literature to the Digital Natives
Part - 1
Slide 1 – Introduction to the FDP
The opening slide outlined the broader aim of the FDP. It emphasized that modern teaching cannot be restricted to content delivery alone. Instead, educators must weave together traditional literary study with the digital practices of the present generation. This made me recognize the role of teachers as bridges between the classical and the contemporary.
Slide 2 – FDP Objectives
The second slide moved from the “why” to the “how.” Simply uploading lectures or notes online does not create effective learning. The goal is to design digital spaces where students interact meaningfully. This builds on the first slide’s point—once we acknowledge that traditional methods are insufficient, the next step is to rethink student engagement in digital terms.
Slide 3 – What is Hypertext?
This slide provided the technical base. Unlike linear printed texts, hypertext creates networks of meaning through links, images, and multimedia. While HTML organizes content and HTTP allows access, the key is that hypertext enables interactivity. It logically extends Slide 2: if the aim is engagement, hypertext becomes the medium through which that engagement happens.
Slide 4 – Theoretical Shift: Decentering
Here the focus shifted from the medium to the theory. In traditional classrooms, the teacher and the prescribed text held authority. In a hypertextual world, this authority is dispersed—students can move between perspectives, explore resources, and shape their own interpretations. This process of decentering made me realize that digital pedagogy transforms students from passive readers into active participants.
Slide 5 – Pedagogy in the Digital Age
This slide tied the earlier ideas together. With students at the center, the teacher’s role evolves from a knowledge-giver to a facilitator. Approaches like Flipped Classrooms and Blended Learning illustrate this shift, allowing students to take ownership of learning while the teacher guides them.
Designing the Digital Classroom
Slide 6 – Models of Digital Pedagogy
The session then introduced practical frameworks. Using the metaphor of a “Salad Bowl,” it suggested combining multiple methods rather than sticking to one. Flipped and Mixed-Mode models were highlighted for making classes more flexible and learner-driven.
Slide 7 – Digital Tools
To support these models, digital infrastructure is necessary. Systems like LMS, CMS, and e-portfolios help teachers organize resources, track student progress, and personalize feedback. This slide showed how pedagogy and technology must go hand in hand.
Innovative Teaching Tools
Slide 8 – The Lightboard
This tool allows teachers to write while facing students on screen, making explanations clearer and more engaging.
Slide 9 – OBS + Lightboard for Drama
By combining Lightboard with OBS, teachers can add visuals, animations, and videos—making even complex literary genres like drama come alive.
Slide 10 – OBS for Poetry
The same method was adapted for poetry. By juxtaposing works like Simon Armitage’s Lockdown with Kalidasa’s Meghaduta, technology enabled a richer cross-cultural appreciation.
Slide 11 – Deconstruction through Lightboard
Even abstract theories like Deconstruction can be simplified visually through diagrams and notes on the Lightboard, making dense concepts more approachable.
Structuring Student Engagement
Slide 12 – TED-Ed as a Platform
This model—Watch → Think → Discuss—illustrated how online lessons can be designed for interaction rather than passive viewing.
Slide 13 – Flipped Learning Example
This reinforced the value of preparation before class, freeing classroom time for critical discussion and deeper engagement.
Slide 14 – Mixed-Mode Teaching
The final slide showed how even advanced theories like Derrida’s can be taught effectively when online and offline strategies are blended.
Overall Takeaways
Looking back, I realized that the presentation followed a clear structure:
From this journey, I learned that:P{a
Lab Session: Digital Humanities
In this blog, we have to share our experiences using these three tools and our learning outcomes. This activity was assigned by Dilip Barad Sir Click Here
1. Human or Computer? – Poem Test
2. CLiC Dickens Project & Activity Book
Activity : 8.1
The CLiC Concordance tool was used with Dickens’s David Copperfield, focusing on the character Mr. Dick. In Activity 8.1, we searched for every occurrence of “Dick” and noticed that many verbs linked to him showed little agency—he was often the recipient of action rather than the doer. Activity 8.2 refined this by filtering to “non-quotes,” highlighting the narrator’s description rather than other characters’ speech. Activity 8.3 isolated reporting clauses like said Mr. Dick, showing how much of his presence is tied to his spoken words. Activity 8.4 examined “long suspensions,” where the narrator interrupts his speech with descriptions of body language and emotion, which emphasized his mental states and expressions. Finally, Activity 8.5 filtered for words connected to body parts like head, face, or eyes, confirming how central his facial expressions are to his portrayal. Altogether, these activities demonstrated how digital tools can uncover patterns in characterization that might otherwise go unnoticed.
3. Voyant Tools
Learning Outcomes
Through these three activities, I realized how digital methods can enrich literary study. The poem test made me reflect on creativity and authorship, the CLiC project trained me to spot textual patterns and character traits systematically, and Voyant introduced me to data-driven approaches in literature. Together, these tools improved my critical reading, analytical thinking, and digital literacy.
Thank You !
The Curse or Karna by T.P. Kailasama
This blog is a part of the reflective activity assigned by Megha ma’am, where I share my personal, opinion-based responses to the questions she provided.
The New Poets, Three Prose Writers & Conclusion
This blog forms a part of the thinking activity assigned for Paper No. 202, Unit 4: Three Prose Writers, The ‘New’ Poets, and the Conclusion. Task assigned by Prakruti ma'am.
Q.1 Write a critical note on any one of the poems by Nissim Ezekiel.
Answer :
Nissim Ezekiel, often regarded as the father of modern Indian English poetry, is known for his sharp irony, urban sensibility, and the ability to blend personal and social concerns with universal reflections. His poem “Latter-Day Psalms” is a remarkable example of his use of irony and satire to comment on the contradictions of modern life.
The very title of the poem is ironic. By alluding to the Biblical Psalms—which are traditionally songs of devotion, praise, and supplication to God—Ezekiel immediately sets up a contrast. The “latter-day” psalms are no longer purely spiritual hymns; instead, they are marked by doubt, skepticism, and disillusionment that reflect the fractured consciousness of modern times.
The poem addresses the dilemmas of contemporary existence. Ezekiel critiques the hollowness of religious practices that often fail to provide true moral or spiritual guidance. Instead of uniting people in faith, modern religion has been corrupted by hypocrisy, superstition, and self-interest. Through his witty, sardonic tone, Ezekiel questions whether modern humanity is capable of genuine devotion when materialism and cynicism dominate life.
At a deeper level, “Latter-Day Psalms” also reflects Ezekiel’s personal struggle as a poet and as a man situated between tradition and modernity. His Jewish heritage, his Indian identity, and his exposure to Western thought create a tension that is visible in the poem. While the psalms of the past represented certainty and absolute faith, the modern version he presents speaks more of doubt, irony, and fractured belief.
Stylistically, Ezekiel uses free verse and conversational language, which strip away the grandiosity of traditional psalms and replace them with everyday realism. His tone oscillates between serious questioning and humorous mockery, thereby capturing the paradoxes of modern spiritual life. The effect is both unsettling and thought-provoking: the reader is made to reflect on the erosion of faith in the modern world, while also recognizing the absurdities of blind devotion.
In conclusion, “Latter-Day Psalms” is not only a parody of traditional religious hymns but also a modern meditation on faith, doubt, and human contradictions. It encapsulates Ezekiel’s strength as a poet who uses irony and satire to probe the spiritual and cultural condition of modern man. The poem shows how far contemporary life has drifted from the certainties of the past, leaving behind a psalm that is both deeply human and profoundly ironic.
Q.2 Write a critical note on Kamala Das' An Introduction.
Answer :
Kamala Das, one of the most powerful voices in Indian English poetry, is known for her confessional style, fearless self-expression, and exploration of female identity. Her poem “An Introduction”, taken from the collection Summer in Calcutta (1965), is an autobiographical and feminist statement that challenges the patriarchal order and asserts the right of a woman to speak, write, and live freely.
The poem begins with Das situating herself within a social and political context. She mentions the names of politicians and emphasizes her awareness of the world around her, which underlines that women are not confined to domestic spheres alone. This is followed by her assertion of identity through the line “I am Indian, very brown, born in Malabar”, where she stresses her cultural rootedness while simultaneously engaging with English, the language of the colonizer. By doing so, she declares her right to use English as a medium of self-expression, famously stating that the language may not be perfect, but it is hers.
A significant aspect of the poem is its critique of patriarchy. Das recounts how men in her life—family, society, or authority figures—tried to dictate how she should think, behave, or even write. She resists this control and celebrates her own voice. The poem boldly addresses themes of female sexuality and bodily autonomy. She writes with startling honesty about her desires, her body, and her longing for love, breaking the taboos that silenced women in Indian society.
Stylistically, “An Introduction” is written in free verse with a conversational, almost confessional tone. This lack of rigid form mirrors the poet’s rejection of conventional restrictions. Her language is direct, raw, and unapologetic, which enhances the intensity of her protest and makes her voice authentic.
At its heart, the poem is both personal and universal. It is Kamala Das’s own story, but it also speaks for countless women whose identities and desires have been suppressed. It critiques not only gender roles but also linguistic and cultural hierarchies, making it a pioneering feminist text in Indian English literature.
In conclusion, “An Introduction” is a powerful manifesto of identity and resistance. It reveals Kamala Das’s courage in breaking social and literary conventions and establishes her as a poet who gave voice to the silenced experiences of women. The poem remains significant not only as a personal confession but also as a broader feminist declaration of freedom, individuality, and selfhood.
Q.3 Write a note on S. Radhakrishnan’s perspective on Hinduism.
Answer :
Flipped Learning: Digital Humanities This blog is written as part of a thinking activity assigned by Dilip Barad sir under the flipped lear...