Federated Learning = Data Access + Privacy

  • “Federated Learning – Currently, data silos and privacy protection are two big challenges for AI. As an encrypted distributed machine learning framework, FL can tackle both problems by allowing different parties to build models collaboratively without the need to reveal their data. The method helps to advance AI modeling while protecting data and privacy.
  • Direct data merging will violate privacy regulations. FL is a compliance method strictly following laws and regulations, and is now used in fintech, healthcare, smart city, and other industrial applications.”
  • https://www.businesswire.com/news/home/20191218005275/en/NuerIPS-2019-China’s-WeBank-Mila-Tencent-Partner

    Professor Yoshua Bengio, A.M.

    Turing Award Winner

    Founder of Mila-Quebec Artificial Intelligence Institute

    One of the “three musketeers of deep learning”


    AI Rising: How companies, police and the public are already grappling with artificial intelligence

  • “Microsoft President Brad Smith, I think it’s fair to say that artificial intelligence will reshape the global economy over the next three decades probably more than any other single technological force, probably as much as the combustion engine reshaped the global economy in the first half of the 20th century.”
  • https://www.google.com/amp/s/www.geekwire.com/2019/ai-rising-companies-police-public-already-grappling-artificial-intelligence/amp/

    Artificial Intelligence (AI) Stats News: AI Is Actively Watching You In 75 Countries

    • At least 75 out of 176 countries globally are actively using AI technologies for surveillance purposes
    • less than 1% of organizations had language stating which types of third parties could access user data; only 2% of organizations had explicit language about data retention; only 32% of organizations had “readable” statements based on OTA standards
    • companies investing in AI report achieving on average 15% productivity improvements for the projects they are undertaking
    • U.S. AI and machine learning startups raised $6.62 billion so far in 2019, and international startups raised $6.79 in the same period. The global total for all of 2018 was $19.5 billion


    Image credit: Getty

    We have to lead AI debate, says Big 6 bank

  • “When it comes to banking, they put forward three specific areas of sensitivity.
    1. The first was explainability – how leaders should approach the limitations of technology as it relates to explaining how AI arrives at conclusions.
      The second was the threat of bias and re-examining the concepts of transparency, fairness and accountability in an AI-first world
      The final concern focusing on diversity, from AI adoption to the executive leadership to the teams building AI models to the data used to inform decisions.

    “In the banking sector, I think we’re going to go through the same shift, where it’s important for banks to recognize the power of AI. They need to take the responsibility of careful deployment of AI seriously and to lead the conversation.”


    55% of Americans approve the use of facial recognition for public safety, but the technology raises privacy concerns

    • “In the US, the government is planning to deploy face recognition at 20 airports by 2021.
    • In June 2018, the suspect in the shooting at a local newspaper in Annapolis, Maryland, was identified using facial recognition technology. 55% of Americans indeed approve the use of facial recognition for public safety.
    • Last year, the police of New Delhi has been able to find 3,000 missing children in just four days thanks to a new facial recognition system.
    • In China, the police has been partnering with SenseNets, a company developing a facial recognition software, to bring charges against people involved in illegal gatherings in the province of Guangdong.
    • Last year, Amazon’s facial recognition systems falsely matched 28 members of Congress to criminal mugshots.”