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NORTH AMERICAN Newsline                                           SEPTEMBER 25, 2026       |  The Indian Eye 25


        AI’s Darker Side Poses An Existential




                  Question To Humans – Act Now








              I for Bad: The Darker Side of
             Artificial Intelligence turns out
        Ato be a landmark book that
        stands out for its intellectual rigor,
        balance and commitment to evidence
        in the heated debate over artificial in-
        telligence.
            Professor N K Goyal and Dr.
        Govind Pathak, the authors, argue
        that Artificial Intelligence is no lon-
        ger a futuristic abstraction but a gi-
        gantic force shaping our economies,
        our relationships, and even our sense
        of self. The book’s foreword is writ-
        ten by Ravi Sharma, President, IIT
        Alumni Council.
            The book refuses to take the
        easy  route  of  either  hype  or  hyste-
        ria.  Instead, it delivers a challenge:
        the harms of AI are now too specific,
        too well-documented, and too conse-
        quential to be dismissed as mere side
        effects of progress, inviting readers
        to engage in a more nuanced and
        structured public conversation.     conditions.                     what kind of AI to build, and what   ing—Black-box systems must be
                                          4. Job displacement—AI is not elim-  AI owes society in return.     opened to scrutiny. If a system can’t
         The Evidence Is In: Harms Are Real,   inating jobs wholesale, but it is   The Core Question: Who De-  be explained, it shouldn’t be making
                 Not Hypothetical           erasing the entry-level jobs that   cides, Who Benefits, Who Pays?  consequential decisions about peo-
            With a methodical and transpar-  once allowed young workers to      The defining question is not what   ple’s lives.
        ent approach, the book organizes    climb the career ladder, threaten-  AI can do, but what it should do, for   Economic  justice—AI-gener-
        the AI debate into six domains of   ing long-term economic mobility.  whom and at whose expense.  The   ated wealth must be more broadly
        harm—criminal misuse, algorithmic   5. Accountability void—When harm   evidence shows that harms concen-  shared and AI must help entry-level
        dehumanization, psychological de-   occurs, responsibility is diffused   trate  on  the  most  vulnerable:  chil-  job aspirants to create an enterprise.
        pendence, job displacement, account-  across developers, deployers, and   dren, isolated individuals, entry-lev-  Global perspective—AI’s harms
        ability voids, and the economics of the   users, leaving AI largely without   el workers, primarily those with the   and  benefits  are  not  distributed
        AI boom, based on peer-reviewed     accountability, so the human cost   least power to shape how AI is de-  evenly across regions or languages of
        research,  incident  databases,  litiga-  becomes an unavoidable conse-  ployed. Meanwhile, the benefits and   the world. Policy must reflect this re-
        tion  records  and  regulatory  filings.  quence.                   wealth generated by AI risk being   gional diversity and socio-economic
        1. Criminal misuse—AI is powering   6. Unsustainable investment—With   captured by a small number of insti-  deviations and refrain from imposing
          deepfakes, scams, and extremist   more than 5 trillion dollars in pro-  tutions and investors, a concentra-  a universal template.
          content at a scale and speed pre-  jected infrastructure buildout, AI   tion that may prove unsustainable
          viously unimaginable.  Tools like   is outpacing demonstrated returns   once future revenues fail  to  match   The Debate Humans Need
          FraudGPT and DarkGPT are not      and raising the specter of a finan-  today’s projections.             AI for Bad does not offer a final
          science  fiction;  they  are  subscrip-  cial bubble whose costs may ulti-                          verdict. Instead, it provides a frame-
          tion services for cybercrime.     mately fall on workers, consumers,   What Needs to Change—Now     work for structured, evidence-based
        2. Algorithmic  dehumanization—     and the public.                     Shared accountability—Devel-  debate. It is “built to be argued with”
          People are reduced to data points,                                opers, deployers, regulators, inves-  and that is precisely what we humans
          with AI systems reinforcing stereo-  The Benefits Are Real—But So Is the   tors, workers, and users must all   need. What it demands is a willing-
          types and stripping away agency,          Responsibility          take responsibility. No more passing   ness to confront both realities, quan-
          often without transparency or re-   The  book  does  not call  for  a   the buck.                   tified harms and real benefits, before
          course.                         ban on AI. It acknowledges genuine    Regulation that keeps pace—   acting decisively. The only unaccept-
        3. Psychological  dependence—AI   advances: productivity gains, medi-  Reactive, litigation-driven responses   able response is inaction.
          companions and chatbots foster   cal breakthroughs, accessibility im-  are not enough. We need proactive,   The choices we make today will
          addiction, overreliance, and even   provements  and  scientific  discover-  risk-tiered regulation that antici-  shape whether AI becomes human-
          delusional thinking, with tragic   ies. But it insists that these benefits   pates harm and enforces real stan-  ity’s greatest ally or its unintended
          cases linking chatbot interactions   do not cancel out the harms. Instead,  dards, especially for products reach-  adversary. Let Human Goodness be
          to suicide, especially among youth   the authors raise the stakes: if AI is   ing minors and vulnerable groups.  the guiding force behind the AI, apt-
          and people with mental health   here to stay, humans  must decide     Transparency in decision-mak-  ly put forward by Ravi Sharma.


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