• Chart: Google Leads the Race for AI Domination

Google Leads the Race for AI Domination | #Artificialintelligence #Google #RT

  • Artificial Intelligence

    Google Leads the Race for AI Domination
    Google I/O, the company’s annual developer conference, is the company’s biggest event of the year.

  • One of the main talking points at this year’s conference will likely be artificial intelligence.
  • Google has been slowly injecting AI into many of its products and services and the company’s CEO Sundar Pichai has sounded very bullish on the prospects of artificial intelligence in recent public appearances.
  • According to numbers compiled by CB Insights, the Google acquired 11 artificial intelligence startups since 2012, more than any other company.
  • This chart shows how many artificial intelligence startups selected tech companies have acquired since 2012.

This chart shows how many artificial intelligence startups selected tech companies have acquired since 2012.
Continue reading “• Chart: Google Leads the Race for AI Domination”

What It Will Take for Us to Trust AI

What It Will Take for Us to Trust #AI #IBMWatson

  • AI systems must be built from the get-go to operate in trust-based partnerships with people.
  • We also expect AI systems to pervasively support the decisions we make in our professional and personal lives in just a few years.
  • Bias could be introduced into an AI system through the training data or the algorithms.
  • Trust of AI systems will be earned over time, just as in any personal relationship.
  • But most experts believe that by thoroughly testing these systems, we can detect and mitigate bias before the system is deployed.

Ethics and accountability.
Continue reading “What It Will Take for Us to Trust AI”

What It Will Take for Us to Trust AI

  • AI systems must be built from the get-go to operate in trust-based partnerships with people.
  • We also expect AI systems to pervasively support the decisions we make in our professional and personal lives in just a few years.
  • Bias could be introduced into an AI system through the training data or the algorithms.
  • Trust of AI systems will be earned over time, just as in any personal relationship.
  • But most experts believe that by thoroughly testing these systems, we can detect and mitigate bias before the system is deployed.

Ethics and accountability.
Continue reading “What It Will Take for Us to Trust AI”