Marco Camisani Calzolari - Professor of Digital Languages, IULM University - CEO @ Speakage & Founder DigitalGround UK

Articoli

• 273 – Automation Is the Wrong Word

  3 aprile, di Team — Artificial Decisions
  Automation Is the Wrong Word. AI Doesn't Automate, It Autonomizes Algorithm, virtual, and automation. Three words we use incorrectly. Three videos, one per word. Today: why we're wrong to use "automation." Automation means making something automatic. A process that you used to do by hand, now a machine does it. Same steps, same result, every time. A washing machine is automation. A badge gate is automation. An email triggered by a purchase is automation. A happens, B follows. Predefined, repeatable, controllable. The problem is when we use the same word for Artificial Intelligence. When we ask AI to answer customers, screen résumés, or analyze medical data, we're not automating anything. We're autonomizing. We're telling a system to decide on its own. The request no longer passes through a predefined sequence. It passes through the model's training, its weights, whatever guardrails someone put in place or didn't. The result isn't predictable. It changes every time. It's an autonomous decision. The difference is enormous, especially when it touches the real world. If I automate a weapon, I press a button and it fires ten rounds. Always ten. Always when I press. If I autonomize a weapon, the system decides when to fire, at whom, and how many rounds. Based on what it "learned." If I automate a banking process, the transfer goes when the customer clicks send. If I autonomize it, the system decides whether to approve, block, or flag. And the money is real, as we said in the previous videos. Digital, but absolutely real. When we say "we automated customer service with AI," we're hiding what actually happened. We gave a system the power to decide on our behalf. That's not automation. That's autonomy. We should say autonomize, so people understand we're talking about systems that make autonomous decisions, that choose, that don't just execute. That's why this series is called Artificial Decisions. What do you think? #ArtificialDecisions #MCC https://www.youtube.com/watch?v=Mp-1XK8-snA https://www.youtube.com/watch?v=Utzft_O_b9w 

• 271 – Virtual Is Not the Opposite of Real!

  1 aprile, di Team — Artificial Decisions
  Virtual Is Not the Opposite of Real! We're Using the Wrong Word, Causing Real Damage Algorithm, virtual, and automation. Three words we use incorrectly. Three videos, one per word. Today: why we're wrong to use "virtual." Newspapers keep writing: real world versus virtual world. As if they were two separate places. Completely wrong. Here's how it actually works. The real world is the big container. Inside it, two spaces: the physical world and the digital world. Physical is where we move, touch, look each other in the face. Digital is where we write, work, buy, argue, fall in love. Two different spaces, but both produce real consequences. Both are real. If I'm on a video call and we make decisions, those decisions are real. You can't touch them with your hands, but you touch them with the facts. If I buy something online, the money is gone for real. If someone insults me in a chat, it lands, it hurts, it stays. Especially if you are young. None of this is virtual. It's digital. And it's absolutely real. The virtual world is something else. It sits outside the real world. It uses digital technology as a tool, but produces no effects beyond itself. In a videogame you kill a character, it dies, another respawns. No consequences off-screen. But we use "virtual" for everything online, and this can cause damage. A kid bullies a classmate in a group chat. Headlines say: "bullying in the virtual world." That word cuts the weight in half. Kids believe it. They think certain things are okay because it's the virtual world. It doesn't count. Except it counts exactly like the physical world, because it's digital, and digital is part of the real world. Every time we say "virtual" when we should say "digital," we're removing weight from something that carries real weight. What do you think? #ArtificialDecisions #MCC

• 269 – Algorithm. The Wrong Word for AI

  30 marzo, di Team — Artificial Decisions
  The Wrong Word for AI #Algorithm, virtual, and automation. Three words we use incorrectly, and I'll explain why. I'll make three videos, one for each word. Today: why we're wrong to use "algorithm." We hear it everywhere. We know what it means: a sequence of instructions. If A happens, do B. Same input, same output. Always. On social media we got it. An algorithm ranks content inside fixed parameters. More likes, higher up. Rules written by someone, verifiable, predictable. Now people use the same word for Artificial Intelligence. Wrong word. Technically it works. The problem is what the listener hears. "Algorithm" means procedure, calculation, control. Something predictable. AI runs on training, weights, probabilities. Same question twice, different answer. No formula. A system that estimates, interprets, and decides on its own. If you think "algorithm," you think the system is under control. You trust it with hiring, patient evaluation, customer service. You don't realize how much autonomy you're handing over. AI doesn't execute like a calculator. It chooses. Every time differently. Nobody can explain exactly why. With an algorithm you give a task to a machine. With AI you give autonomy to a machine. Completely different things. When we say "algorithm" for AI, we're reassuring people. We're saying: it's under control, it's predictable. It's not. What do you think? #ArtificialDecisions #MCC #AI

• 268 – We’re Hitting Like on Millions of Fake Photos

  29 marzo, di Team — Artificial Decisions
  We're Hitting Like on Millions of Fake Photos. We Either Stop or the Damage Will Be Irreversible The AI wedding photos of Zendaya and Tom Holland passed eleven million likes on Instagram. Posted on March 4 by a random creator. Completely generated by Artificial Intelligence. Eleven million people who hit like on an event that never existed. But who notices when the light is perfect and the setting is romantic? January 2025, California wildfires. Someone generated AI images of the Hollywood Sign engulfed in flames and put them into circulation on X and Instagram. They spread within minutes. Authorities had to publicly announce that the landmark was untouched. Not to correct a news story, to stop the panic. At the 2024 Met Gala, AI photos of Katy Perry were so convincing that her own mother thought she was there that evening. We're at this point now. No hacking required, no infiltrating anything. A few seconds and a free tool are enough to put a convincing photo into circulation: a crime that didn't happen, a politician saying things they never said, a person in trouble for something they never did. And the platforms? Meta cut its fact-checking teams while the problem was exploding. X deliberately lowered filters on Grok for generating images of public figures. OpenAI in 2025 updated GPT-4o's policies to allow the creation of images of politicians and public figures on simple request. The people running these tools know exactly what's happening. We got used to not believing words. Now we have to learn not to believe images. Nobody prepared us for this. #ArtificialDecisions #MCC

• 267 – Watch Out for Loyalty Cards and Health Insurance!

  28 marzo, di Team — Artificial Decisions
  Watch Out for Loyalty Cards and Health Insurance! Every time we use a loyalty card, we leave a very clear trail: what we buy, when we buy it, how often, and in what quantities. Those digital receipts turn into data. That data turns into a profile. And profiles create inferences. Over-the-counter medicines, gluten-free products, items linked to a medical diet. Over time, these signals can reveal habits and sensitive details about a household. On the health side, the stakes are even higher. In the US, more processes around claims and approvals involve automation. And the Change Healthcare cyberattack showed how fragile these large health and payment systems can be, affecting a huge number of people. California launched a public tool called DROP to help people request deletion and opt-out from data brokers. The personal data market is now a major issue. What does this mean for a family? Shopping habits and health data can contribute to a detailed risk and money profile, not just ads. Use loyalty cards only when the benefit is real. Check the privacy settings of loyalty programs and limit data sharing when possible. For health and insurance, ask what data is collected, how long it's kept, and who it's shared with. Data doesn't stay still. It moves. And the more detailed it is, the more valuable it becomes to someone else. #ArtificialDecisions #MCC

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