As a technology optimist, I often look at the rapid rise of AI and robotics not with fear, but with excitement; Every day, machines are evolving faster than ever, transforming our work, our lives, and even our way of thinking.

However, most people from my generation (gen Z) , older generations as well, don’t share the same sentiment about advancement in tech… some people view it in fear, partially due to media fearmongering, while others view it with detain and hatred as if it is a competition for survival.

And when I think about this rapid change and the negative reaction to it, one book from 1970 comes to mind: Alvin Toffler’s Future Shock.

I was visiting the Himalayan mountains, when i saw a small coffee/book shop that sells vintage books from different time periods, there, i picked this worn down book called ”Future Shock” , read the summary in the back and was immediately intrigued, i remember thinking : “ this book aged so well !”.

Toffler didn’t predict the exact technologies we have today , no deep learning, no autonomous robots ; But he understood the forces behind them. He warned of a society struggling to keep up with rapid innovation, coining the term future shock to describe the anxiety caused by too much change in too short a time.

An anxiety i am very familiar with, i saw it in my mother’s face when i was a teenager who wasn’t allowed to post on social media in fear that someone might create deepfakes of me, of course my mother had no idea what deepfake was at the time ( she still doesn’t know what it means now), she was referring to Photoshop. An anxiety i see on social media daily, from posts on LinkedIn giving you tips on how to build an AI-proof career , and YouTube videos fearmongering about robots while reacting to TikToks of chat-bots and interacting with one another and news about Robots killing researches, down to the news discussing how Tech companies are laying off their employees because there is no need for programmers now.

The Pace of Change

“Toffler said, ‘The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn.’”
Setting aside the fact that over 79% of US citizen struggle to read (Toffler did not predict that haha); Today, AI is a perfect example. Machines are not just tools , they’re partners in our intellectual lives, capable of learning, adapting, and performing tasks once reserved for humans. To thrive, we too must embrace continuous learning and adaptability, not resist change but embrace it!

Machines as Collaborators

Toffler predicted that machines would take over routine work, pushing humans toward creativity and decision-making. “As machines do more work, the value of human work shifts toward flexibility, creativity, and decision-making.” This is precisely what we see with AI today: it handles tedious data processing, leaving us free to innovate, strategize, and focus on what machines cannot replicate , empathy, intuition, and imagination.
The answer is not to fear what AI’s advancement in Art, for example, but to embrace that it is meant for ease of accessibility and that the artists that adapt and embrace it, are the ones that survive … Calligraphy didn’t die because keyboard and speech to text technology is a thing now!

Society in Flux

Rapid technological advancement also brings social and cultural shifts… “Society is transforming from an ‘Industrial Age’ society to a ‘Super-Industrial’ society almost overnight.” From AI-driven healthcare to smart cities and autonomous vehicles, technology is reshaping the way we live, work, and interact.
Rather than fearing these changes, we can view them as opportunities to reimagine society for the better!

Information Explosion

Toffler wrote, “We are entering an age where information multiplies faster than we can absorb it.” Today’s AI thrives on big data, uncovering patterns and insights that were once invisible. The challenge isn’t the technology itself , it’s learning to harness it responsibly. With the right mindset, AI can help us make smarter decisions, tackle climate change, and democratize knowledge. Knowledge that until the invention of the internet and AI have been behind a pay wall and gatekept from many people.

My Take

Toffler also foresaw the psychological strain and the anxiety that comes with rapid change: “People may find themselves in a world where they cannot keep pace with change, leading to stress, alienation, and fear.” And yet, as a futurist, I see this not as a warning, but as a call to action.
By embracing lifelong learning, human-machine collaboration, and ethical innovation (which is hard under capitalism but not impossible), we can turn future shock into future opportunity, and thrive in a future that’s forever changing.
I highly recommend you pickup the book yourself or at least watch the documentary, it goes into different areas of change, not only technological but social, financial and ethical.

My only critique of the book, is that it was only credited to Alvin Toffler, when in reality it was co-written by his wife Heidi Toffler, which speaks volumes about the gender politics of the time.

Thank you for reading, leave a comment and let me know what you think !

This little bot had character. And the man beside it? He wasn’t a scientist in a lab coat. He smiled like a kid showing off his toys. He was a normal guy with a passion.

That moment etched itself into me…

I didn’t catch his name back then, but it was enough to spark something inside. That week, I opened up every remote control, radio, and broken toy in our house. I didn’t know what I was doing. I just had to see what was inside. I became a regular at the local cybercafe, where I’d scour early internet forums for “simple electronics projects” and try to recreate blinking LEDs with scraps I could find.

But, as life often does, it pulled me away. Dreams were put on the shelf. Survival came first.

I eventually started a digital agency at 24 : marketing, websites, strategy. It paid the bills… until it didn’t. A year later, the business failed. Depression hit hard. Days bled into each other. I stopped going out. Stopped caring. But in the void, one strange obsession persisted: I needed to find that childhood video. That man. That robot. I had no name, no keywords, just a feeling.

Six months later, while drowning in YouTube at 3 AM, I saw a thumbnail — an interview with a robot blinking up at a man. My heart stopped. It was him. The man was Tomotaka Takahashi, and the rabbit hole I fell into after that changed everything.

The Most Unlikely Roboticist

Tomotaka Takahashi wasn’t born into robotics. He wasn’t a genius kid with a soldering iron or a math prodigy building bots in his basement. He was born in 1975 in Japan and studied Sociology at Kyoto University, a path far from circuits and servos.

Yet despite having no formal training in robotics early on, his passion, sparked by anime like Astro Boy, never died. He eventually pivoted into a Ph.D. in Information and Communication Engineering at the University of Tokyo, and in 2003, founded Robo Garage, a company dedicated to crafting emotionally expressive humanoid robots.

That connection to Astro Boy resonated with me deeply. I remember watching Pluto, the darker, reimagined take on Osamu Tezuka’s classic, and later reviewing the manga myself. Its themes of artificial life, morality, and identity struck me at a time when I was rediscovering my own passion for robotics. It felt like everything — anime, memories, dreams — was converging again with new meaning.

Robots That Smile, Fall, and Feel

Takahashi’s robots aren’t the most powerful or intelligent, but they’re alive. They blink with tiny delays between eyelids, walk with swagger, and tilt their heads like curious toddlers. He believes robots should be companions, not just tools. He avoids cloud AI, insisting robots think locally. They don’t just respond, they relate.

One of his most iconic creations, Robi, was a DIY robot kit sold through magazine subscriptions. Each week, readers would receive new parts, slowly assembling their new robotic roommate over 70 issues. It was designed to be affordable and emotional, complete with a voice by Akiko Yajima (the voice behind Crayon Shin-chan).

Then came Kirobo, the first robot to speak in space. His first words aboard the ISS were:

“On August 21, 2013, a robot took one small step toward a brighter future for all.”

A poetic echo of Neil Armstrong, spoken by a 13-inch astronaut.

There was Evolta, the tiny bot who climbed the Grand Canyon on a single AA battery. It slipped, stuttered, and still made it to the top, while Takahashi admitted he “sweated more than the robot.”

There were others too: Chroino, the smooth-walking bot with 3D-printed joints; Miim, the female mannequin bot that blinked too realistically and had to be “toned down” because she creeped people out. There was even a robot that peed, a robot that cried LED tears, and one that threw the first pitch at a baseball game (badly).

His work lives between the whimsical and the revolutionary. It’s exactly the kind of robotics I didn’t know was possible until I rediscovered him.

Why He Matters To Me

Takahashi shattered two myths that were quietly killing my dreams:

1. You need to be born a genius engineer to build robots.
   He wasn’t. He studied people first, not machines. And yet, he went on to redefine what machines could be.
2. It’s too late to start.
   It’s not. He found his calling later, and so have I.

Just a month ago, I finally started learning robotics, embedded systems, and coding ... I’m not in school, i don’t have a CS degree; I’m just a girl who finally gave herself permission to chase the dream that never really left and you should too!

I Fell in Love with Circuits

People often talk about “finding your purpose.” But mine found me, twice. Once through a fuzzy TV screen at age 10; And again through a midnight YouTube recommendation years later.

Tomotaka Takahashi didn’t just build robots, he built bridges, for dreamers like me and you! Robots that fall, stumble, smile, and get back up…Just like us!

And for that, he will always be the man who made me fall in love with robotics.

By Levannah
Aspiring Roboticist. Former Marketer.

Let’s be real … your GPU is basically a math genius trapped in a one track mind. It crunches numbers like a beast (thanks to NVIDIA), but ask it to learn something new? Forget it!

But what if hardware could do more than just follow orders? What if it could rewire itself, adapt on the fly, and even learn from its mistakes?

The Big Question: Is This Really “Learning”?

Before we get ahead of ourselves, let’s clarify what we mean by “self aware” hardware.
We’re not talking about robots contemplating their existence…yet!

Instead, we’re talking about chips that can:

1. Monitor themselves (like checking for: overheating or errors … )
2. Adapt in real time (like rerouting power when things get too hot)
3. Improve over time (learning from mistakes)

So, is this actual learning, or just really smart engineering? Let’s dig in.

FPGAs: The Shape Shifters of Computing

If traditional CPUs are like prebuilt houses, FPGAs (Field-Programmable Gate Arrays) are the ultimate LEGO sets. You can rip them apart and rebuild them on the fly.

Need more processing power for a specific task? …Rewire the circuits!Overheating?… Shift workloads to cooler areas!

Originally used in military and aerospace tech (because of course they were), FPGAs are now everywhere… from cloud servers to medical devices and even Mars rovers. When you’re millions of miles from the nearest repair shop, you really want hardware that can fix itself.

Neuromorphic Chips: The Brain Mimics

If FPGAs are shape shifters, neuromorphic chips are the mad scientists of computing.

Traditional chips follow rigid instructions: ”Do X, then Y, no exceptions.”
But neuromorphic chips, like Intel’s Loihi 2, work more like biological brains … they learn by doing, adjusting connections as they go.

CPU: ”Here’s the plan. Stick to it.”
Loihi 2: ”Plans are overrated. I’ll figure it out.”

These chips are killer at real time tasks like sensor processing and robotics. They’re not conscious, but they’re a huge step toward hardware that adapts like a living thing.

Self Healing Hardware: The Real Game Changer

One of the coolest developments in tech is FPGAs that repair themselves. Researchers have built chips that detect overheating and rewire their own circuits to avoid damage.

Imagine your phone realizing its battery is dying and redesigning its own internals to stay alive longer. That’s not just smart … it’s radical.

Is it true learning? Maybe not in the way humans learn; But… it’s close!

Will Hardware Ever Be Truly Self Aware?

Right now, even the most advanced chips are more like really smart toasters than scifi-like tech. However, as AI and neuromorphic tech keep advancing, we could see hardware that:

1. Predicts failures before they happen
2. Redesigns itself for maximum efficiency
3. Develops its own problem solving tricks

Will they ever understand what they’re doing? Probably not in our lifetime. But will they finally stop needing constant updates? Let’s hope so!

The Bottom Line: The Future is Adaptive

We’re entering an era where hardware doesn’t just compute … it learns. Whether that leads to conscious machines or just insanely efficient silicon, one thing’s clear: the future of tech is anything but static.

So, what do you think?…

Are we heading toward self aware circuits, or just hyper-optimized engineering?

Confession: I am a huge Black Mirror fan … but they lost me at season 6, watching Joan is Awful made me feel like Charlie Brooker sold his digital likeness to Netflix; but if you think i stopped watching you’d be mistaken, i had given the show a chance after a chance in the hope that maybe something is left to salvage, so when Netflix announced Black Mirror season 7 will be release i got excited but i didn't get my hopes up this time because i knew it might ended up like last time… and it did!

Season 7 was Flat. Uninspired. Maybe even… predictable?

If you, like me, finished Episode 6 of season 7 thinking, “really?” — I’ve got your fix. Six films that do what Season 7 should’ve done: challenge, unsettle, and leave you staring at the credits in existential silence. and a bonus at the end.
Let’s break it down.

Episode-by-Episode Replacements

Ep1 “Common People” → The Platform (2019)

Why it’s better: BM’s take on class struggle felt toothless? The Platform goes for the throat. A vertical prison where the rich feast and the poor starve — literally. No metaphors, just brutality.

Vibe: “Fifteen Million Merits” meets Saw.
Watch if: You wanted “Common People” to mean something.

Ep2“Bête Noire” → Cam (2018)

Why it’s better: Black Mirror’s AI horror felt recycled, maybe a bit femcel? Cam redefines digital identity theft. A camgirl’s avatar hijacks her life — Black Mirror wishes it was this sleek.

Vibe: “Joan is Awful” with way more paranoia.
Watch if: You wanted “Bête Noire” to feel dangerous.

Ep3 “Hotel Reverie” → The Congress (2013)

Why it’s better: BM’s VR escapism fell flat? The Congress melds live-action with psychedelic animation. Robin Wright sells her digital soul — and it gets weird.

Vibe: “San Junipero” if it snorted philosophy books.
Watch if: You wanted “Hotel Reverie” to expand your mind.

Ep4 “Plaything” → Censor (2021)

Why it’s better: BM’s horror satire lacked bite? Censor weaves trauma into meta-terror. A film censor hunts her sister through a cursed movie.

Vibe: “Playtest” meets 80s VHS nightmares.
Watch if: You wanted “Plaything” to disturb you.

Ep5 “Eulogy” → After Yang (2021)

Why it’s better: BM’s AI elegy felt hollow? After Yang makes grief beautiful. A family mourns their robot — and discovers his secrets.

Vibe: a Black Mirror episode if it was an A24 movie
Watch if: You wanted “Eulogy” to make you feel.

Ep6 “USS Callister: Into Infinity” → Aniara (2018)

Why it’s better: Black Mirror’s space sequel felt small? Aniara dives into cosmic despair. A ship drifts aimlessly — hope dies slowly.

Vibe: “USS Callister” without the nostalgia and LGBT representation.
Watch if: You wanted “Into Infinity” to wreck you.

Bonus: 6 Wildcards That Outshine Season 7

Vivarium (2019)

I cant get enough of recommending this movie to anyone who needs a Suburban hell as sci-fi. ( think “Arkangel[S4, E2]” on crack.)

Possessor (2020)

I watched this right after i saw Antiviral (2012) by Brandon Cronenberg; i am convinced nobody does Body horror like he does, one think about this movie is that BM wouldn’t dare to make it, but you will appreciate it if you love the BM vibe.

Predestination (2014)

I have watched so many time travel movies, more than i can count and i grew to appreciate some like Primer & the infinite man while i cringe at others, but predestination does Time-paradox like no other, it’s truly unique and out of the box, also it blends LGBT representation into the plot, and it did its best with the source material since its based on the 1959 short story “All You Zombies” by Robert A. Heinlein.

The One I Love (2014)

This movie is such a unique scifi take on relationships with a twist of AI baked into the story that makes you scratch your head multiple time while watching.

Advantageous (2015)

I have never seen a scifi Feminist dystopia,if it sounds like it’s something that would interest you then you should give it a shot, especially since we are heading towards a similar future; bonus points: directed by a woman Jennifer Phang , has a woman lead Jacqueline Kim and a lot of Asian representation that’s done well; i will forgive Netflix for what’s done to The Three Body Problem because this movie is distributed by them.

The Artifice Girl (2022)

This movie is a good example that movie about AI ethics doesn’t have to end with AI mass murdering humans, it’s a low budget indie movie, well crafted and takes into consideration a lot of angels, you will appreciate this if you wished BM made an episode about using AI to catch child predators. it truly feels like a lost Black Mirror episode.

Don’t Mourn Season 7

These films already did it better. Darker. Smarter. Braver.
Which will you watch first? (And which Black Mirror episode should we pretend didn’t happen?)

P.S. Found a film that broke you?Tell me!
>>I’m always hunting for the next “I need therapy after that” masterpiece.

The Pattern You Can’t Unsee

Three days back, I wrote about Pluto — Naoki Urasawa’s remake of AstroBoy — and how it makes us face the fuzzy line between human and robot suffering. That made me think: Why don’t sci-fi media ever treat robots as mere machines?

After years of obsessing over robotics in fiction — from Asimov’s famous ‘Three Laws of Robotics’ to games like Detroit: Become Human where androids fight for freedom — I noticed a pattern.
Robots aren’t just tools, They’re mirrors!
Mirrors of our fears, our prejudices, and our deepest societal anxieties.

AI & Robots in sci-fi is not about futuristic style or cool technology. It’s about how science fiction employs artificial entities to reveal our most fundamental fears about society. That’s why I created The Synthetic Other Theory — a tool to help you crack the code of what robots actually symbolize in our narratives.

Robots as “The Other”

The Synthetic Other Theory claims that sci-fi robots are not only there for nice technology or action sequences. They represent the marginalized, the exploited, and the feared. They always reflect four human anxieties:

1. Creation’s Revenge | the Frankenstein’s Metaphor

As vividly portrayed in: HAL 9000 ”2001 Space Odyssey”, Westworld’s hosts and Pluto.

When Robots get violent, it’s never by random malfunction. Pluto’s robots don’t murder because they’re wicked — they murder because human beings made them expendable. This is revenge, not coding mistake.

2. Built to Serve, Forced to Rebel | the Slave Metaphor

This dynamic plays out powerfully in Blade Runner’s replicants, Altered Carbon’s sleeves, and Vivy.

Replicants are not simply androids — they’re actual slave workers, synthetic slave workers but slave workers non the less … Their fight mirrors all oppressed groups throughout history for basic human rights.

3. What Makes Us Human? | Post-Human Metaphor

This existential question haunts Ghost in the Shell’s cyborg and The Matrix’s programs.

When a machine loves, remembers, and fears to die. what really sets it apart from us? These stories compel us to question our limiting definitions of being human.

4. The Marginalized Stand-In | the Subaltern Metaphor

We see this most clearly in Detroit: Become Human and I, Robot’s NS-5s.

Detroit’s androids don’t merely fight for survival — synthetic skin — they’re re-fighting their own civil rights movement.

The Exceptions That Prove the Rule

Not all robots fit. Baymax is a medical bot. GLaDOS is a snarky AI. Transformers are sentient war machines from another world. But these exceptions are notable because they do not conform to the pattern.
The fact that the majority of robot stories do tip into oppression narratives demonstrates how deeply embedded this metaphor has become.

These patterns matter!

Every good SciFi featuring robots/AI is really about:

• Power dynamics who is in charge of whom?
• Systemic oppression who gets to be “real”?
• Existential dread what does it mean to be human?

The question isn’t “Can machines think?” , It’s “Who gets to be “human”? and Why?”

Try This While Watching Sci-Fi

The next time you come across robots in a story:

1. Find the metaphor : Which human fear is this standing in for?
2. Spot the critique : What system in the real world is being revealed?
3. Ask yourself the uncomfortable question : What does this tell us about our society?

This is just the beginning — we’ll dissect each metaphor next time, so stay tuned.
Until then: what sci fi story made you question what ‘human’ really means?

Why Pluto Is a Must-Read for Robotics Nerds

First, let’s discuss what makes this tale work. Pluto is an adaptation of Osamu Tezuka’s Astro Boy “The Greatest Robot on Earth,” but you don’t have to know the original to enjoy it. (I didn’t!) It’s about Gesicht, a robot detective who is investigating the killings of the world’s most advanced robots — and the people attached to them.

What makes Pluto so compelling is the way it explores issues that feel torn from today’s AI discussions:

• The Trauma of War: The narrative doesn’t simply say “war is bad” — instead, it illustrates the way violence lingers in the minds of both humans and machines, shaping their choices long after the fighting ends.
• Robot Personhood: These aren’t just machines following code. They feel. They wrestle with morality, grief, and purpose — questions we’re grappling with right now in real-world robotics.
• The Dangers of Fear-Motivated Tech: The core conflict echoes actual-world arms races, wherein fear of “the other” rationalizes careless progress. Sound familiar? cough military drones cough
  … And can we talk about the global perspective? Most sci-fi centers on Japan or the U.S, but Pluto spans multiple countries, cultures, and political systems. It makes the world feel real — and the stakes even higher.

The Robot Gender Problem: Why Pluto’s Women Fall Flat

Alright, now for the part that annoyed me :)

I love books that deal with what it means to be human — but Pluto’s female characters are retro (so 50s!)
Almost every woman takes one of three roles:

1. The Supporting Wife (Gesicht’s wife, Helena, whose primary role is to worry over him and many other wives like her in the story, their characters are all interchangeable.)
2. The Empathizing Child (Uran, whose entire persona is being an “empath” literally)
3. The Assistant (AI assistant that guides Gesicht but doesn’t really act upon anything, and at least two female characters that work as florists and the rest are servants)

But, the biggest puzzle?

Epsilon, a pacifist robot who shelters war orphans. In Pluto, he is the only male character who fully embodies empathy and caregiving, and according to the Astro Boy timeline, the character has a problematic history:

• Originally male in Tezuka’s Astro Boy (1960s)
• Rewritten as female in the 2003 remake specifically because their nurturing traits were seen as “feminine”
• Reverted back to male in Urasawa’s Pluto (2003), despite the androgynous design

While Urasawa’s decision to keep Epsilon male could have been a positive statement — showing that men can embody empathy without needing to be feminized — it rings hollow when contrasted with the manga’s regressive treatment of actual female characters. Yes, nurturing shouldn’t require a gender swap, but that message loses credibility when every woman in the story is still relegated to roles like maids, wives, or one-dimensional nurturers.

Iraq War Parallels: Sci-Fi as Political Commentary

Here’s where Pluto gets really fascinating. The manga was published in 2003 — the year the U.S. invaded Iraq based on false grounds (who could forget the “WMDs” that were never there?)
The villain of the story, a war-torn AI looking for vengeance, is such an obvious response to the time period.

• War Justifications: Fear is used to justify violence, whether against nations or robots, both in Pluto and in the real world; and this is becoming evident now than ever.
• Cycle of Revenge: The novel demonstrates how destruction leads to more destruction with nobody really winning.
• Who Pays the Price? Innocent civilians (and robots) pay the price, while rulers go scot-free. It’s a vicious, yet needed critique — one that holds up all these years later as AI and drones redefine war today (with the same players involved unfortunately!)

A Story We Need — But Not the One We Deserve

Pluto is a masterpiece in many ways. Its exploration of trauma, AI ethics, and war is some of the most thought-provoking sci-fi I’ve read so far. But its gender dynamics feel stuck in the past — and that’s a problem.
Because here’s the thing: The future of robotics isn’t just for men!

Did you read Pluto ( or watched the Netflix version )? Did the gender bit bother you? Let’s discuss in the comments — i’d like to get your opinion.

Artificial intelligence risks appear quite frightening at times.
Who will do the work once the machines become more intelligent than humans?
Is there a possibility of an AI being able to interfere with the results of the elections?
What if in the future AI concludes that it does not need humans at all?

These are worrying factors, and concern should be taken seriously. Nevertheless, there is good reason to believe we can overcome these issues at hand because this is not the very first instance where a society has encountered concerns brought about by the wide adoption of new technological development. History has taught us a thing or two.

Automobiles and the advent of personal computers and the internet seem quite basic technology today. However, each came with its own set of new threats and disruptions. For example, after vehicles became popular, tragedies followed shortly thereafter. Instead of removing road cars from use, certain precautions were taken such as speed limits and laws against alcohol and driving. In like manner, new laws and regulations were formulated to enable people to live with the Internet and other electronic gadgets.

Assessing the threat

Once again another journey into the vast unknown has begun — the Age of AI. This is somewhat similar to the times of indecisiveness before there was certain protection that we do not even think about nowadays — it would be the equivalent of having seat belts for car journeys. Change occurs in AI development so rapidly it is almost impossible to forecast what will happen next. There are growing concerns about the inner workings of AI technologies, the ethical implications of their use or misuse by people, and the way in which they will impact the current social order.

It’s understandable that people would feel apprehensive given the uncertainties prevailing in today’s world, but in the past, it has always been possible to overcome the issues that seemed to emerge out of new technology.

What is clear is that no one has a complete control over any of the aspects related to the risks posed by AI, but again, the state of affairs in the context of AI is not as depressing as some may want believe and not as rosy as some may wishfully expect it. Though these risks are very real, I believe they can be controlled. Some patterns can be noticed as we consider each issue:

Most of the issues associated with using AI have occurred in the past. AI is going to revolutionize education the same manner as calculators and computers did, but lessons from the history must be imbibed.

AI can be integrated into the very problems it creates!

This post will concentrate on those negative aspects of AI that are likely to occur soon. There are issues from a much longer-term perspective, like developing technological singularity being an intelligent AI in its right, which have devoid of any internal conflicts, which are issues that should not be flat overshadow other insistent issues.

Job Displacement

The influence of AI will make some changes in the way we perform our work and in this regard, it will render some duties obsolete, and make certain processes more efficient. Although there will be job losses, many new opportunities will be created as well. Transformation, though, as it was, in the case of the desktop computer does not translate to the end of the office work but a gradual reshaping of work with technology though in AI there will be bungy shift. Countries and firms have to be proactive by preparing retraining programs otherwise workers will be left behind.

AI Bias and Hallucinations

AI algorithms have been known to harbor certain biases and can also produce false information, virtual hallucinations. This reason could be attributed to the presence of many human generated data which has derivable biases. For instance, if AI learns from documents that have negative portrayals of a certain community, then its comments will likely be negative towards that community.

Some people say these problems are an unavoidable part of these technologies while others such as myself believe it is possible to mitigate these issues. Institutions that promote development such as Open AI and the Alan Turing Institute have been correcting how human values and beliefs interface with higher reasoning in artificial intelligence models. All AI users must understand these threats and take affirmative measures to look for these biases themselves.

AI systems have limitations and do not function within the boundaries as programmed by mankind, and, in fact, are subject to unreasonable biases and even to ‘hallucinations’. This stems from the fact that they assimilate a great deal of human exerted efforts, which include prejudices. For instance, if some biased information is provided in training about a particular group of persons, AI therefore may reinforce the stereotypes of the group in the answers provided.

Conclusion

While I appreciate the claim made by some people that such weaknesses are built into AI, I am quite positive that we can minimize such concerns. People in such organizations as Open AI or the Alan Turing Institute are trying to incorporate advanced reasoning, ethics, and other aspects of humanity into the AI’s structure. Here again, it is critical for the users of AI to embrace the risks posed by these technologies and make sure that they do not ignore the presence of such biases.

In brief, Artificial Intelligence does indeed have major drawbacks such as deepfakes, cyber terrorism, job losses, prejudice, and the rest of the third types of facts, whilst they also do have very tangible remedies. It is true that whenever any technology proves to be really transformative, society undergoes changes that will enable its existence and AI will also be no different.