Saturday, February 27, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

The Guardian view on machine learning: a computer cleverer than you? | Editorial | Opinion

September 23, 2019
in Machine Learning
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Brad Smith, Microsoft’s president, last week told the Guardian that tech companies should stop behaving as though everything that is not illegal is acceptable. Mr Smith made a good argument that technology may be considered morally neutral but technologists can’t be. He is correct that software engineers ought to take much more seriously the moral consequences of their work.

This argument operates on two levels: conscious and unconscious. It is easy to see the ethical issue in Microsoft’s sale of facial recognition technology to US Immigration and Customs Enforcement while the Trump administration was separating children from parents at the US’s southern border. The moral stance of more than 3,000 Google employees who protested about its Maven contract – where machine learning was to be used for military purposes, starting with drone imaging – with the US Department of Defense should be applauded. Google let the contract lapse. But people with different ethical viewpoints can take different views. In the case of the Maven contract, a rival with fewer qualms picked up the work. Much is contingent on public attitudes. Opinion polls show that Americans are not in favour of developing artificial intelligence technology for warfare, but this changes as soon as the country’s adversaries start to develop them. There is an economic aspect to be considered too. Shoshana Zuboff’s insight, that the exploitation of behavioural predictions covertly derived from the surveillance of users is capitalism’s latest stage, is key. What is our moral state when AI researchers are paid $1m a year but the people who label and classify the input data are paid $1.47 an hour.

You might also like

New AI Machine Learning Reduces Mental Health Misdiagnosis

MindMed Closes Acquisition of HealthMode, a Leading Machine Learning Digital Medicine Company

Providence exec explains the differences, their healthcare applications

However, the most difficult human skills to replicate are the unconscious ones, the product of millennia of evolution. In AI this is known as Moravec’s paradox. “We are all prodigious Olympians in perceptual and motor areas, so good that we make the difficult look easy,” wrote the futurist Hans Moravec. It is these that our brains excel in, hidden but complex processes that machine learning attempts to replicate. This presents the maker of such technology with a unique problem of accountability. If a building falls, the authorities can investigate, spot a failure, and put it down to engineering. We absorb the lessons and hope to learn from our mistakes.

But is this true for programmers? It is in the nature of AI that makers do not, and often cannot, predict what their creations do. We know how to make machines learn. But programmers do not understand completely the knowledge that intelligent computing acquires. If we did, we wouldn’t need computers to learn to learn. We’d know what they did and program the machines directly ourselves. They can recognise a face, a voice, be trained to judge people’s motivations or beat a computer game. But we cannot say exactly how. This is the genius and madness behind the technology. The promise of AI is that it will imbue machines with the ability to spot patterns from data, and make decisions faster and better than humans do. What happens if they make worse decisions faster? Governments need to pause and take stock of the societal repercussions of allowing machines over a few decades to replicate human skills that have been evolving for millions of years. But individuals and companies must take responsibility too.

Credit: Google News

Previous Post

AI trading the market - Data Science Central

Next Post

The Math of Machine Learning - Berkeley University Textbook

Related Posts

New AI Machine Learning Reduces Mental Health Misdiagnosis
Machine Learning

New AI Machine Learning Reduces Mental Health Misdiagnosis

February 27, 2021
MindMed Closes Acquisition of HealthMode, a Leading Machine Learning Digital Medicine Company
Machine Learning

MindMed Closes Acquisition of HealthMode, a Leading Machine Learning Digital Medicine Company

February 27, 2021
Healthcare leaders debunk 3 myths about machine learning
Machine Learning

Providence exec explains the differences, their healthcare applications

February 27, 2021
An Epic cognitive computing platform primer
Machine Learning

An Epic cognitive computing platform primer

February 27, 2021
AI and machine learning to help global battle with cancer
Machine Learning

AI and machine learning to help global battle with cancer

February 26, 2021
Next Post
The Math of Machine Learning – Berkeley University Textbook

The Math of Machine Learning - Berkeley University Textbook

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Oxford University lab with COVID-19 research links targeted by hackers
Internet Security

Oxford University lab with COVID-19 research links targeted by hackers

February 27, 2021
The Education Industrial Complex: The Hammer We Have
Data Science

The Education Industrial Complex: The Hammer We Have

February 27, 2021
New AI Machine Learning Reduces Mental Health Misdiagnosis
Machine Learning

New AI Machine Learning Reduces Mental Health Misdiagnosis

February 27, 2021
Fastest VPN in 2021 | ZDNet
Internet Security

Fastest VPN in 2021 | ZDNet

February 27, 2021
Increasing Adoption of Informatics will Promote Growth of Data Analytics Outsourcing Market
Data Science

Increasing Adoption of Informatics will Promote Growth of Data Analytics Outsourcing Market

February 27, 2021
MindMed Closes Acquisition of HealthMode, a Leading Machine Learning Digital Medicine Company
Machine Learning

MindMed Closes Acquisition of HealthMode, a Leading Machine Learning Digital Medicine Company

February 27, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Oxford University lab with COVID-19 research links targeted by hackers February 27, 2021
  • The Education Industrial Complex: The Hammer We Have February 27, 2021
  • New AI Machine Learning Reduces Mental Health Misdiagnosis February 27, 2021
  • Fastest VPN in 2021 | ZDNet February 27, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates