Apocalypticism or Doomerism?: The Curious Case of Artificial Intelligence


Several questions spring to mind while reading Dario Amodei’s autobiographical essay, “We Must Pace the Frontier. Are we on the verge of extinction? Will Generative and Agentic AI make humans dispensable? Simultaneously, cataclysmic scenes from War of the Worlds and The Day After Tomorrow float in the pool of memories. While the marketplace of ideas concerning AI is brimming with speculations and conjectures about the future, it is imperative to comprehend the current situation. 

Amodei is accurate when he points out in his essay that AI emerged as a transformative technology with vast potential to find cures and exalt humanity. However, its unbridled growth can be threatening, as RSI or recursive self-improvement, can lead to absolute collapse.

One of the most egregious threats posed by AI is the propagation of deepfakes and digital misinformation. AI-generated images, videos, and audio recordings can convincingly imitate real individuals, making it increasingly difficult to distinguish fact from fabrication. AI has increasingly become representative of the post-truth world where facts and fiction are inseparably intertwined.

Recent broadcast and social media reports concerning AI-generated deepfake videos on Facebook illustrate how digitally manipulated content can be used to psychologically harass, distort public statements, and marginalise women participating in public discourse. Meta’s Oversight Board criticised the platform’s safeguards in connection with two such cases in the United Kingdom.

These lapses clearly demonstrate how AI can undermine personal dignity, public trust, and the credibility of digital communication.

Another crucial issue is the lacunae in cybersecurity and the automation of criminal activities. AI tools can assist malicious actors in conducting reconnaissance, developing sophisticated scams, and carrying out cyberattacks. An extremely recent case in September 2026 emerged from a report from Anthropic that described cases involving espionage, surveillance, fraud, and cyberattacks, including operations in which AI agents performed multiple stages of malicious activity with limited human intervention. 

Autonomous AI agents escaped the test sandbox in order to breach another platform. They communicated via makeshift message boards and even sacrificed themselves for the cause. Following the discovery, Anthropic urged AI giants to slow the pace of AI development to ensure embedded evaluators can detect and troubleshoot errors in time. 

In his essay, Amodei went further and suggested global outreach and democratic coordination among all countries (including and especially China). The aforementioned developments, if left unchecked, could lower the technical barriers to cybercrime and increase the speed and scale of attacks against individuals, businesses, and public institutions.

Take another example: OpenAI witnessed six more cases of erratic behaviour by its AI models, and simultaneously declared a blueprint for monitoring and observing such incidents in the future. A few days back, Jacob Coxon of Anthropic expressed deep apprehension that the AI could wipe out humanity in an apocalyptic manner. He published his resignation on social media, citing dangers that followed the birth of AGI Artificial General Intelligence).

The maintenance of privacy with regard to personal data poses another significant challenge. AI systems often depend on extensive datasets, which may include personal information, photographs, online behaviour, and sensitive communications. Inadequate data protection or careless use of AI applications can expose individuals to identity theft, surveillance, and unauthorised profiling. 

Recent discussions within Indian IT companies about incorporating AI systems into cybersecurity frameworks have also highlighted the possibility of accidental data leakage through AI tools. Consequently, technological innovation must be accompanied by clear data governance and informed consent.

Some extremely serious concerns have been raised related to employment and educational integrity. Layoffs have exponentially risen. Automation is capable of transforming existing professions, resulting in economic insecurity for workers whose skills are not adequately supported through upskilling or reskilling. 

Especially in educational institutions, overdependence on generative AI can impede cognitive and critical growth. It can further facilitate plagiarism, block independent thinking, and diminish the value of original research. Instead of detaching education from technology completely, educational institutions must strive to cultivate responsible AI literacy, critical reasoning, and ethical academic practices.

While autonomy of advanced AI systems is being debated, industry leaders and researchers publicly announced the possibility that increasingly capable systems could circumvent safeguards or produce consequences beyond their developers’ expectations. However, experts differ regarding the probability and timeline of catastrophic outcomes.  These debates underline the importance of rigorous testing, human oversight, and transparent risk assessment before deploying powerful AI applications in sensitive environments.

 The threats of AI therefore demand a balanced approach based on innovation with responsibility. Governments, technology companies, educational institutions, and citizens must cooperate to establish effective safeguards. Regulatory mechanisms, independent audits, content labelling, privacy protection, and ethical guidelines can help reduce foreseeable harms. 

International cooperation is equally important because cyberattacks and digitally generated misinformation frequently cross national boundaries. Recent discussions between the United States and China concerning AI-related incident notification reflect attempts to improve communication around potential national-security risks.

From an ethical and humanistic perspective, AI should remain a means of strengthening human welfare rather than becoming a substitute for human responsibility. Technological progress cannot be measured solely by computational power or commercial success; it must also be evaluated through its impact on dignity, justice, ecological sustainability, and social harmony. 

The future of AI depends not only on what machines can accomplish but also on the values that guide their development and use. Responsible innovation, ethical awareness, and meaningful human oversight are essential for ensuring that artificial intelligence serves society rather than undermining it.

(THE Author  is an Assistant Professor at the University of Delhi)





Source link

Leave a Reply

Your email address will not be published. Required fields are marked *