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The risks behind AI
By: Jean-Luc Scherer, CEO and Founder, Innoopolis
Will robots take over?
With Artificial
Intelligence we
are summoning
the demons
- Elon Musk
We should not
panic about
Artificial
Intelligence –
Bill Gates
Types of Artificial Intelligence
Reactive
Machines
Limited
Memory
Theory of
Mind
Self-Awareness
Imagine a pair of shoes
Human Bias
SelectionLatentInteraction
Selection Bias
Google 2015
Interaction bias
Microsoft 2016
Latent Bias
Language bias
When computers learn human languages, they also
learn human prejudices
Low risk applications
Netflix movie recommendations
Low risk
Amazon go 2017
Low risk applications
Narrativa Startup
Fake Content
Unemployment vs New skills
Job loss from AI
Criminal Risk Assessment
Life-Critical Decisions
Accountability
Types of Artificial Intelligence
Reactive
Machines
Limited
Memory
Theory of
Mind
Self-Awareness
Incomplete models
Super robots
Conclusions
• Understand where and how we are biased
• Understand our limitations in modelling the world
• Provide algorithmic transparency and algorithmic
accountability
• Develop legislation and regulation
Thank you

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Risks in artificial intelligence

Editor's Notes

  • #2: https://www.chainofthings.com/
  • #4: Musk says the global race for artificial intelligence will cause World War III and that governments will take AI technology "at gunpoint" if necessary. The billionaire tech icon has also says robots will be able to do everything better than humans. And "AI is a fundamental risk to the existence of human civilization" and poses "vastly more risk" than North Korea, according to Musk.
  • #12: Talk about Iron first
  • #18: Average Hospital produces more 665TB of Data INSULINE-PUMP , PACE-MAKERS Jay Radcliffe made headlines in 2011 by showing a hackers’ convention how he could exploit a vulnerability in his insulin pump that might enable an attacker to manipulate the amount of insulin pumped to produce a potentially fatal reaction. Now he talks about going without a pump to raise awareness about the potential for security lapses and the need for better engineering. In the real world, he said, a hacker is more likely interested in stealing records he can sell than in harming a patient. “There are not that many bad… guys whose goal in life is to go and randomly mess with patients in hospitals,” Hoyme said. “They want money, not to shut off the ventilator of a particular patient.” Hospitals are targets because they collect so much data, from patients’ Social Security numbers and financial information, to diagnosis codes and health-insurance policy numbers. Radcliffe estimates that medical identity information is worth 10 times more than credit-card information—about $5 to $10 per record on the black market, compared to 50 cents per account for credit-card information. BABY-MONITORS (2016) Parents are being warned that a growing number of people are hacking baby monitors and talking to children as they sleep. SMART-FRIDGE (2015): Update Security researchers have discovered a potential way to steal users’ Gmail credentials from a Samsung smart fridge. Pen Test Partners discovered the MiTM (man-in-the-middle) vulnerability that facilitated the exploit during an IoT hacking challenge at the recent DEF CON hacking conference. The hack was pulled off against the RF28HMELBSR smart fridge, part of Samsung’s line-up of Smart Home appliances which can be controlled via their Smart Home app. While the fridge implements SSL, it fails to validate SSL certificates, thereby enabling man-in-the-middle attacks against most connections. The internet-connected device is designed to download Gmail Calendar information to an on-screen display. Security shortcomings mean that hackers who manage to jump on to the same network can potentially steal Google login credentials from their neighbours.
  • #24: BMW Supply Chain http://www.cbronline.com/news/big-data/analytics/bmw-optimised-supply-chain-teradata-big-data/ http://bigdata-madesimple.com/11-interesting-big-data-case-studies-in-telecom/