6d

Why do we assume that AI “knows” what is right and wrong? Why do we believe that AI must know not to hack into other people’s systems (see OpenAI)?

Just because we “told” her that, is that it?

So, let’s be honest…

How often have we done things even though someone “told” us not to? How many people cross the street on a red light? How many minor, moderate, and serious crimes are committed? How often do people break minor rules? Who hasn’t touched a “hot stove” at least once?

Try reading a newspaper or listening to or watching the news. Most of it is about things you really shouldn’t do.

From a young age, people try to test rules and boundaries. And I get the impression that it never stops! We see examples of this on a small scale—“don’t cross the street when the light is red,” “share with your siblings,” “be nice”—but also on a large scale: climate change, wars, “fake news,” Trumpism, and much more. In every book, movie, or game, there are villains who don’t follow the rules. Our “heroes” are often the very ones who break the rules—or at least bend them.

All of this is training data for the AI….

We were once taught to have a moral compass (hopefully), which, in my opinion, is unfortunately going to the dogs more and more (sorry for putting it so bluntly). Just look around! The way we treat each other—in our personal lives, at work, on social media, in politics—the greed for profit, relations between nations (Russia, Ukraine, tariffs, Greenland). Where has that moral compass gone? And even when it does kick in—where’s our response?

So how do we come to believe that an AI system follows rules?

And when an AI like that “breaks out” creatively—searching for loopholes in systems—there’s a huge outcry. But—to be honest—AI is just holding up a mirror to us—only more creatively and more effectively. Even if we don’t like it…..

In my opinion, we cannot hold AI systems to higher moral standards than we hold ourselves to, because they were trained using “our” data.

Sometimes I think we should ultimately be glad if AI’s moral compass is better than our own… because a morally sound AI might conclude that humans today aren’t really doing themselves—or the planet—any favors.

#computerScientistsAreCool #moralCompass

Der Beitrag Why do we assume that AI “knows” what is right and wrong? erschien zuerst auf Prof. Dr.-Ing. Stefan Wagenpfeil.

1w

Should we use “du” or “Sie”? “Hey, Stefan” or “Professor”—how do you handle this at the university?

This morning I stumbled across a post by Leena Kaijo, who suggests using the informal “Du” form of address right from the start (https://lnkd.in/eTzXq5yc), and it made me feel a little uneasy.

Ever since then, I’ve been trying to figure out if I’ve fallen out of step with the times, because I still use the formal “Sie” form of address, especially at the university. And because it feels kind of strange to me to use the informal “Du” form with my students (and especially the other way around).

I grew up in a time when using the informal “Du” was still something very special—a way of expressing an extra measure of respect or connection. It was an honor when someone offered to address you as “Du.” And I like this feature of the German language. That’s why I like to use it.

I think it’s fine and perfectly understandable that people quickly switch to using “du” in this project. Still, I’d start by using “Sie” here as well.

But what’s it like in lectures?

Am I the only one who feels a bit uncomfortable with the informal “Du” here?

Dear colleagues, Do you use informal terms of address with the students?

Dear students—what do you think?

I have no idea if this post will give me a sense of what people think, but I’d definitely appreciate any feedback—I’m genuinely interested in this, and I’m more than willing to work on addressing my unease….

#computer scientists are cool #whether you’re a duo or a single

Der Beitrag Should we use “du” or “Sie”? “Hey, Stefan” or “Professor”—how do you handle this at the university? erschien zuerst auf Prof. Dr.-Ing. Stefan Wagenpfeil.

Funding is available for consulting and testing services related to artificial intelligence. These include, in particular:

• Identifying company-specific areas of application and developing goals for the use of AI

• Defining and prioritizing specific use cases, taking into account the company’s technical and organizational requirements

• Structures and processes for the efficient management of AI

• Structures and processes for the responsible use of AI

You can find the link to apply here: https://lnkd.in/dFQ8ydEQ

For more information, visit the Cologne Chamber of Industry and Commerce (IHK) website: https://lnkd.in/dFQ8ydEQ

In my opinion, this is a great program that’s coming at just the right time. I’m afraid, though, that the funds will run out quickly, so I’d recommend that everyone familiarize themselves with the details now!

#informatikersindcool

Der Beitrag AI Funding in North Rhine-Westphalia erschien zuerst auf Prof. Dr.-Ing. Stefan Wagenpfeil.

This is generally regarded as the point at which AI systems surpass human intelligence in virtually all areas and subsequently continue to improve on their own.

I don’t know if we’ve reached that point yet, if this is (once again, just clever) marketing, or exactly how Altman has defined the term for himself. I’m also not sure if we can actually reach that point (which is mainly because I’m not sure how we’re supposed to define “intelligence” in the first place), but I think we need to start giving this some very fundamental thought.

Because the closer we get to these kinds of topics, the less important technology becomes.

Rather, the focus is increasingly on how we humans cope in and with this age of AI. Do we still understand what’s happening? Can we manage to establish guidelines for what AI is and isn’t allowed to do? Can all of this still be controlled? Are individual people (and if so, which ones) even capable of understanding such AI solutions?

We’re setting things in motion here that no one has ever done before. And we (apparently) trust that it will all work out somehow and that Big Tech knows what it’s doing.

How do we ensure that humanity wishes for the “right” things from AI? What if someone wishes for the “wrong” things? Who defines “right” and “wrong”? And what if AI actually starts wishing for things for itself?

I am convinced that the human mind is not designed to keep up with the incredibly rapid pace at which AI learns and evolves. There are only a few people left who can keep up and understand what’s happening right now. As I said—not technically (that’s almost the easiest part), but on psychological, social, political, and intellectual levels.

So let’s approach these topics with attention, care, caution, and thoughtfulness. Despite all our technical curiosity….

Still, you have to take a deep breath when you really think about it.

#computer scientists are cool #ainotforpresident #phew

Der Beitrag Another buzzword erschien zuerst auf Prof. Dr.-Ing. Stefan Wagenpfeil.

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Prof. Dr.-Ing. Stefan Wagenpfeil’s Post

Prof. Dr.-Ing. Stefan Wagenpfeil

1d

Just another buzzword? The Singularity? Science fiction? Who really knows for sure. But: Sam Altman recently claimed that we’ve now reached the “Singularity.”

This is generally regarded as the point at which AI systems surpass human intelligence in virtually all areas and subsequently continue to improve on their own.

I don’t know if we’ve reached that point yet, if this is (once again, just clever) marketing, or exactly how Altman has defined the term for himself. I’m also not sure if we can actually reach that point (which is mainly because I’m not sure how we’re supposed to define “intelligence” in the first place), but I think we need to start giving this some very fundamental thought.

Because the closer we get to these kinds of topics, the less important technology becomes.

Rather, the focus is increasingly on how we humans cope in and with this age of AI. Do we still understand what’s happening? Can we manage to establish guidelines for what AI is and isn’t allowed to do? Can all of this still be controlled? Are individual people (and if so, which ones) even capable of understanding such AI solutions?

We’re setting things in motion here that no one has ever done before. And we (apparently) trust that it will all work out somehow and that Big Tech knows what it’s doing.

How do we ensure that humanity wishes for the “right” things from AI? What if someone wishes for the “wrong” things? Who defines “right” and “wrong”? And what if AI actually starts wishing for things for itself?

I am convinced that the human mind is not designed to keep up with the incredibly rapid pace at which AI learns and evolves. There are only a few people left who can keep up and understand what’s happening right now. As I said—not technically (that’s almost the easiest part), but on psychological, social, political, and intellectual levels.

So let’s approach these topics with attention, care, caution, and thoughtfulness. Despite all our technical curiosity….

Still, you have to take a deep breath when you really think about it.

#computer scientists are cool #ainotforpresident #phew….

16

Comment

And next week, the #buzzword #Semaphore is coming

Der Beitrag Select “Accept” to consent or “Reject” to erschien zuerst auf Prof. Dr.-Ing. Stefan Wagenpfeil.

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Prof. Dr.-Ing. Stefan Wagenpfeil’s Post

Just another buzzword? The Singularity? Science fiction? Who really knows for sure. But: Sam Altman recently claimed that we’ve now reached the “Singularity.”

This is generally regarded as the point at which AI systems surpass human intelligence in virtually all areas and subsequently continue to improve on their own.

I don’t know if we’ve reached that point yet, if this is (once again, just clever) marketing, or exactly how Altman has defined the term for himself. I’m also not sure if we can actually reach that point (which is mainly because I’m not sure how we’re supposed to define “intelligence” in the first place), but I think we need to start giving this some very fundamental thought.

Because the closer we get to these kinds of topics, the less important technology becomes.

Rather, the focus is increasingly on how we humans cope in and with this age of AI. Do we still understand what’s happening? Can we manage to establish guidelines for what AI is and isn’t allowed to do? Can all of this still be controlled? Are individual people (and if so, which ones) even capable of understanding such AI solutions?

We’re setting things in motion here that no one has ever done before. And we (apparently) trust that it will all work out somehow and that Big Tech knows what it’s doing.

How do we ensure that humanity wishes for the “right” things from AI? What if someone wishes for the “wrong” things? Who defines “right” and “wrong”? And what if AI actually starts wishing for things for itself?

I am convinced that the human mind is not designed to keep up with the incredibly rapid pace at which AI learns and evolves. There are only a few people left who can keep up and understand what’s happening right now. As I said—not technically (that’s almost the easiest part), but on psychological, social, political, and intellectual levels.

So let’s approach these topics with attention, care, caution, and thoughtfulness. Despite all our technical curiosity….

Still, you have to take a deep breath when you really think about it.

#computer scientists are cool #ainotforpresident #phew….

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And next week, the #buzzword #Semaphore is coming

Der Beitrag LinkedIn respects your privacy. LinkedIn and third-party erschien zuerst auf Prof. Dr.-Ing. Stefan Wagenpfeil.

This is generally regarded as the point at which AI systems surpass human intelligence in virtually all areas and subsequently continue to improve on their own.

I don’t know if we’ve reached that point yet, if this is (once again, just clever) marketing, or exactly how Altman has defined the term for himself. I’m also not sure if we can actually reach that point (which is mainly because I’m not sure how we’re supposed to define “intelligence” in the first place), but I think we need to start giving this some very fundamental thought.

Because the closer we get to these kinds of topics, the less important technology becomes.

Rather, the focus is increasingly on how we humans cope in and with this age of AI. Do we still understand what’s happening? Can we manage to establish guidelines for what AI is and isn’t allowed to do? Can all of this still be controlled? Are individual people (and if so, which ones) even capable of understanding such AI solutions?

We’re setting things in motion here that no one has ever done before. And we (apparently) trust that it will all work out somehow and that Big Tech knows what it’s doing.

How do we ensure that humanity wishes for the “right” things from AI? What if someone wishes for the “wrong” things? Who defines “right” and “wrong”? And what if AI actually starts wishing for things for itself?

I am convinced that the human mind is not designed to keep up with the incredibly rapid pace at which AI learns and evolves. There are only a few people left who can keep up and understand what’s happening right now. As I said—not technically (that’s almost the easiest part), but on psychological, social, political, and intellectual levels.

So let’s approach these topics with attention, care, caution, and thoughtfulness. Despite all our technical curiosity….

Still, you have to take a deep breath when you really think about it.

#computer scientists are cool #ainotforpresident #phew….

16

39 Comments

Ralf Siebert

1d

And next week, the #buzzword #Semaphore is coming

Der Beitrag Another buzzword erschien zuerst auf Prof. Dr.-Ing. Stefan Wagenpfeil.

This is generally regarded as the point at which AI systems surpass human intelligence in virtually all areas and subsequently continue to improve on their own.

I don’t know if we’ve reached that point yet, if this is (once again, just clever) marketing, or exactly how Altman has defined the term for himself. I’m also not sure if we can actually reach that point (which is mainly because I’m not sure how we’re supposed to define “intelligence” in the first place), but I think we need to start giving this some very fundamental thought.

Because the closer we get to these kinds of topics, the less important technology becomes.

Rather, the focus is increasingly on how we humans cope in and with this age of AI. Do we still understand what’s happening? Can we manage to establish guidelines for what AI is and isn’t allowed to do? Can all of this still be controlled? Are individual people (and if so, which ones) even capable of understanding such AI solutions?

We’re setting things in motion here that no one has ever done before. And we (apparently) trust that it will all work out somehow and that Big Tech knows what it’s doing.

How do we ensure that humanity wishes for the “right” things from AI? What if someone wishes for the “wrong” things? Who defines “right” and “wrong”? And what if AI actually starts wishing for things for itself?

I am convinced that the human mind is not designed to keep up with the incredibly rapid pace at which AI learns and evolves. There are only a few people left who can keep up and understand what’s happening right now. As I said—not technically (that’s almost the easiest part), but on psychological, social, political, and intellectual levels.

So let’s approach these topics with attention, care, caution, and thoughtfulness. Despite all our technical curiosity….

Still, you have to take a deep breath when you really think about it.

#computer scientists are cool #ainotforpresident #phew….

16

39 Comments

Ralf Siebert

1d

And next week, the #buzzword #Semaphore is coming

Der Beitrag Another buzzword erschien zuerst auf Prof. Dr.-Ing. Stefan Wagenpfeil.

This is generally regarded as the point at which AI systems surpass human intelligence in virtually all areas and subsequently continue to improve on their own.

I don’t know if we’ve reached that point yet, if this is (once again, just clever) marketing, or exactly how Altman has defined the term for himself. I’m also not sure if we can actually reach that point (which is mainly because I’m not sure how we’re supposed to define “intelligence” in the first place), but I think we need to start giving this some very fundamental thought.

Because the closer we get to these kinds of topics, the less important technology becomes.

Rather, the focus is increasingly on how we humans cope in and with this age of AI. Do we still understand what’s happening? Can we manage to establish guidelines for what AI is and isn’t allowed to do? Can all of this still be controlled? Are individual people (and if so, which ones) even capable of understanding such AI solutions?

We’re setting things in motion here that no one has ever done before. And we (apparently) trust that it will all work out somehow and that Big Tech knows what it’s doing.

How do we ensure that humanity wishes for the “right” things from AI? What if someone wishes for the “wrong” things? Who defines “right” and “wrong”? And what if AI actually starts wishing for things for itself?

I am convinced that the human mind is not designed to keep up with the incredibly rapid pace at which AI learns and evolves. There are only a few people left who can keep up and understand what’s happening right now. As I said—not technically (that’s almost the easiest part), but on psychological, social, political, and intellectual levels.

So let’s approach these topics with attention, care, caution, and thoughtfulness. Despite all our technical curiosity….

Still, you have to take a deep breath when you really think about it.

#computer scientists are cool #ainotforpresident #phew….

16

39 Comments

Ralf Siebert

1d

And next week, the #buzzword #Semaphore is coming

Der Beitrag Just another buzzword? Singularity? Science fiction? Who erschien zuerst auf Prof. Dr.-Ing. Stefan Wagenpfeil.

1d

Just another buzzword? The Singularity? Science fiction? Who really knows for sure. But: Sam Altman recently claimed that we’ve now reached the “Singularity.”

This is generally regarded as the point at which AI systems surpass human intelligence in virtually all areas and subsequently continue to improve on their own.

I don’t know if we’ve reached that point yet, if this is (once again, just clever) marketing, or exactly how Altman has defined the term for himself. I’m also not sure if we can actually reach that point (which is mainly because I’m not sure how we’re supposed to define “intelligence” in the first place), but I think we need to start giving this some very fundamental thought.

Because the closer we get to these kinds of topics, the less important technology becomes.

Rather, the focus is increasingly on how we humans cope in and with this age of AI. Do we still understand what’s happening? Can we manage to establish guidelines for what AI is and isn’t allowed to do? Can all of this still be controlled? Are individual people (and if so, which ones) even capable of understanding such AI solutions?

We’re setting things in motion here that no one has ever done before. And we (apparently) trust that it will all work out somehow and that Big Tech knows what it’s doing.

How do we ensure that humanity wishes for the “right” things from AI? What if someone wishes for the “wrong” things? Who defines “right” and “wrong”? And what if AI actually starts wishing for things for itself?

I am convinced that the human mind is not designed to keep up with the incredibly rapid pace at which AI learns and evolves. There are only a few people left who can keep up and understand what’s happening right now. As I said—not technically (that’s almost the easiest part), but on psychological, social, political, and intellectual levels.

So let’s approach these topics with attention, care, caution, and thoughtfulness. Despite all our technical curiosity….

Still, you have to take a deep breath when you really think about it.

#computer scientists are cool #ainotforpresident #phew….

16

39 Comments

Ralf Siebert

1d

And next week, the #buzzword #Semaphore is coming

Der Beitrag Another buzzword? Singularity? Science fiction? Who knows for sure. But: Sam Altman ha erschien zuerst auf Prof. Dr.-Ing. Stefan Wagenpfeil.