Difference between revisions of "Artificial intelligence: bridging the chasm"

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|Has description=“People worry that computers will get too smart and take over the world, but the real problem is that they're too stupid and they've already taken over the world.”
 
|Has description=“People worry that computers will get too smart and take over the world, but the real problem is that they're too stupid and they've already taken over the world.”
 
|Has session type=Discussion
 
|Has session type=Discussion
|Has session keywords=hardware, software, hacking, coding
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|Has session keywords=social, hardware, software, hacking, coding
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|Is organized by=ChrisKelvin
 
|Held in language=en - English
 
|Held in language=en - English
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|Has orga contact=cls@posteo.de
 
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Artificial intelligence is at the top of its hype cycle... again, because as we shall see in this session, the cycle of hype and disappointment ("AI winter") is as old as the field itself. The current phase is driven by big data and advances in machine learning, and promises to have a massive impact on all kinds of industries and society in general.
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Artificial intelligence is at the top of its hype... again, because as we shall see in this session, the cycle of hype and disappointment ("AI winter") is as old as the field itself. The current phase is driven by big data and advances in machine learning, and promises to have a massive impact on all kinds of industries and society in general.
  
 
But where there is potential, there is also hype, confusion, overpromise, bullshit bingo, and even charlatanry. Nowadays even the simplest use of algorithms often gets branded as AI. And grand visions of intelligent machines are in contrast with many companies still struggling with the basics. Are we inevitably headed for a new AI winter?
 
But where there is potential, there is also hype, confusion, overpromise, bullshit bingo, and even charlatanry. Nowadays even the simplest use of algorithms often gets branded as AI. And grand visions of intelligent machines are in contrast with many companies still struggling with the basics. Are we inevitably headed for a new AI winter?
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All creatures, but especially hackers with practical experience in the field of AI, Machine Learning and Data Science, are invited to join the conversation.
 
All creatures, but especially hackers with practical experience in the field of AI, Machine Learning and Data Science, are invited to join the conversation.
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-- @C_L_Staudt

Latest revision as of 21:37, 27 December 2018

Description “People worry that computers will get too smart and take over the world, but the real problem is that they're too stupid and they've already taken over the world.”
Website(s)
Type Discussion
Kids session No
Keyword(s) social, hardware, software, hacking, coding
Person organizing ChrisKelvin
Language en - English
en - English
Other sessions... ... further results

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Starts at 2018/12/27 16:00
Ends at 2018/12/27 17:00
Duration 60 minutes
Location Room:Seminar room 13

Artificial intelligence is at the top of its hype... again, because as we shall see in this session, the cycle of hype and disappointment ("AI winter") is as old as the field itself. The current phase is driven by big data and advances in machine learning, and promises to have a massive impact on all kinds of industries and society in general.

But where there is potential, there is also hype, confusion, overpromise, bullshit bingo, and even charlatanry. Nowadays even the simplest use of algorithms often gets branded as AI. And grand visions of intelligent machines are in contrast with many companies still struggling with the basics. Are we inevitably headed for a new AI winter?

This is the chasm: After hype and inflated expectations, there will be disappointment. And after the disappointment, there may be insight and productivity, if we do it right. How can we get over the chasm in one piece?

All creatures, but especially hackers with practical experience in the field of AI, Machine Learning and Data Science, are invited to join the conversation.

-- @C_L_Staudt