-
23 febbraio, di Team — Artificial Decisions
5 Things to Watch When You Bring AI Into a Company
First, Artificial Intelligence often shows up before the company officially adopts it. Employees use it quietly, and many use it the wrong way. A report by the National Cybersecurity Alliance and CybSafe, cited by Security Management, says 43% shared sensitive work information with AI tools without their company knowing. That includes internal documents, financial data, and customer data. Cisco's 2025 Data Privacy Benchmark Study says almost half of respondents admit they entered employee personal data or other non-public company data into generative AI tools.
Second, a prompt is a packet of company information. When you paste an email, an Excel file, a contract section, or a sales note, that content leaves the company perimeter and goes to systems you do not control. You usually do not know where it ends up, how long it stays, or who can use it later.
Third, clean the data before you use AI. Remove anything that points to real people, real clients, real products, real numbers. Replace names with placeholders, use "find and replace," and use codes instead of identities. Keep a local mapping so you can restore the original names after you get the output.
Fourth, be careful when you connect AI to company documents or to the web. AI reads text and tends to follow instructions inside text. Attackers can hide malicious instructions inside a file that looks normal, pushing the AI to search for things it should not touch, including internal folders. Keep access minimal, enable connectors only when needed, and stop immediately if the AI behaves oddly.
Fifth, responsibility stays human. AI can sound confident while being wrong. For anything involving money, contracts, people decisions, hiring, penalties, or deadlines, require human review. Keep a short internal policy with clear examples of what can be pasted and what cannot, and require company accounts and approved tools.
#ArtificialDecisions #MCC
-
22 febbraio, di Team — Artificial Decisions
Free AI Is a Fiction, and It's Often Ripping You Off
We grew up thinking that everything on the internet is free. Search engines, social networks, digital services. We learned that digital tools come without a real price. Today, especially with Artificial Intelligence tools, that idea no longer works. Free is an illusion.
When we use a free AI, we are not really using the tool. We are seeing a reduced, limited version. It exists to show that the product is there, not what it can truly do. Then people get disappointed: it makes mistakes, feels shallow, looks useless. From there comes the idea that AI does not work. What we are judging is a weakened demo.
Digital tools are no longer accessories, they are daily life. Work, study, communication, money, decisions. Technologies do not go backwards. The internet stayed. Smartphones stayed. Social networks stayed. AI is following the same path, faster and with deeper impact.
For years, advertising paid for everything. Today it is not enough. AI is expensive: computing power, energy, data centers, security, constant updates. Running advanced models costs a lot, every single day.
If you do not pay with money, you pay in other ways: data, behavior, attention, time. This logic already exists in the digital world. With AI, it becomes even clearer.
We already pay subscriptions for music, movies, cloud services, software. Expecting AI to be truly free is just a habit from the past, not an economic reality.
When people say "AI always makes mistakes" or "I tried it and it is useless," they are usually talking about free versions. There is no real comparison with paid ones: depth, continuity, reasoning, reliability all change.
Open source exists, but it requires real skills: time, study, technical ability. It works for experts, not for everyone. For most people and companies, tools that truly work have a cost. This is a fact. The age of everything for free is over. Pretending otherwise only means staying behind, while others are already using AI seriously.
#ArtificialDecisions #MCC
-
21 febbraio, di Team — Artificial Decisions
Artificial Intelligence That "Challenges God"? I Don't Buy It
AGI means Artificial General Intelligence. The promise is a machine that can handle any mental task like a human. Learn new things without being reprogrammed, move from medicine to math to strategy with the same "brain." Use context, experience, common sense. Grow like a human mind. That's why people talk about it in almost religious terms.
What we have today is different. Even when it looks flexible, it's still a specialist tool. A language model writes, summarizes, answers, and codes because it learned patterns of language, not because it understands the world. Each reply is a probability guess: which words are most likely next, based on its training data. It can work well inside its comfort zone. Outside that zone, it becomes fragile.
A real AGI would be stable and consistent over time. Today's systems are not. Each output is a one-off: no personal experience, no awareness of mistakes, no intention. When it's wrong, it doesn't know it's wrong. The "mind" feeling comes from good language, not real understanding.
Real autonomy also isn't here. An AGI would decide what matters and how to learn. Today's AI depends on human-chosen data, human goals, and human metrics. The fence stays up.
I don't believe in the AGI hype. Meanwhile, today's AI is already inside decisions that matter: hiring, money, health, contracts. Treating it like a "general mind" makes people delegate too much. Treat it as what it is: a powerful statistical tool that still needs human control.
#ArtificialDecisions #MCC
-
20 febbraio, di Team — Artificial Decisions
Watch Out for New AI Scams
Here in the United States, people write to me every day. “My son called me.” “I saw my boss on video.” “The email looked perfect.” I spoke with a senior FBI official in New York who said generative AI is making scams more believable and easier to scale.
Voice cloning needs very little. A short voice note or a public video is enough. Then comes the urgent call: accident, lawyer, bail, broken phone. The goal is speed. If you rush, you pay. Video deepfakes raise the trust level even more. A face on screen still feels authoritative, even if it can be faked.
AI also improves phishing emails and fake customer support chatbots. They look clean, reply fast, and ask for “verification.” That means OTP codes and access to your email, then accounts disappear. Chats, calls, audio, and video are data. If money or access is involved, verify outside the channel. Hang up and call a saved number. Open the app, not the link. Never share a code from SMS or an app.
#ArtificialDecisions #MCC
-
18 febbraio, di Team — Artificial Decisions
I’ll update you on how things went in Berlin and on how we want to create a World Council for AI, together with a decalogue of “commandments.” They may sound like technical topics, but they mainly concern society and everyone’s everyday life.