Showing posts with label big data. Show all posts
Showing posts with label big data. Show all posts

Thursday, April 25, 2019

The Legal and Ethical Implications of Using AI in Hiring; Harvard Business Review, April 25, 2019

  • Ben Dattner
  • Tomas Chamorro-Premuzic
  • Richard Buchband
  • Lucinda Schettler
  • , Harvard Business Review; 

    The Legal and Ethical Implications of Using AI in Hiring


    "Using AI, big data, social media, and machine learning, employers will have ever-greater access to candidates’ private lives, private attributes, and private challenges and states of mind. There are no easy answers to many of the new questions about privacy we have raised here, but we believe that they are all worthy of public discussion and debate."

    Sunday, August 5, 2018

    Interview: Yuval Noah Harari: ‘The idea of free information is extremely dangerous’; The Guardian, August 5, 2018

    Andrew Anthony, The Guardian; Interview: Yuval Noah Harari: ‘The idea of free information is extremely dangerous’

    "Why is liberalism under particular threat from big data?
    Liberalism is based on the assumption that you have privileged access to your own inner world of feelings and thoughts and choices, and nobody outside you can really understand you. This is why your feelings are the highest authority in your life and also in politics and economics – the voter knows best, the customer is always right. Even though neuroscience shows us that there is no such thing as free will, in practical terms it made sense because nobody could understand and manipulate your innermost feelings. But now the merger of biotech and infotech in neuroscience and the ability to gather enormous amounts of data on each individual and process them effectively means we are very close to the point where an external system can understand your feelings better than you. We’ve already seen a glimpse of it in the last epidemic of fake news.

    There’s always been fake news but what’s different this time is that you can tailor the story to particular individuals, because you know the prejudice of this particular individual. The more people believe in free will, that their feelings represent some mystical spiritual capacity, the easier it is to manipulate them, because they won’t think that their feelings are being produced and manipulated by some external system...

    You say if you want good information, pay good money for it. The Silicon Valley adage is information wants to be free, and to some extent the online newspaper industry has followed that. Is that wise?
    The idea of free information is extremely dangerous when it comes to the news industry. If there’s so much free information out there, how do you get people’s attention? This becomes the real commodity. At present there is an incentive in order to get your attention – and then sell it to advertisers and politicians and so forth – to create more and more sensational stories, irrespective of truth or relevance. Some of the fake news comes from manipulation by Russian hackers but much of it is simply because of the wrong incentive structure. There is no penalty for creating a sensational story that is not true. We’re willing to pay for high quality food and clothes and cars, so why not high quality information?"

    Thursday, March 1, 2018

    Professor Tells UN, Governments Of Coming “Tsunami” Of Data And Artificial Intelligence; Intellectual Property Watch, February 21, 2018

    William New, Intellectual Property Watch; Professor Tells UN, Governments Of Coming “Tsunami” Of Data And Artificial Intelligence

    "[Prof. Shmuel (Mooly) Eden of the University of Haifa, Israel] said this fourth revolution in human history is made up of four factors. First, computing power is at levels that were unimaginable. This power is what makes artificial intelligence now possible. The smartphone in your hand has 1,000 times the components of the first rocket to the moon, he said, which led to a chorus of “wows” from the audience.

    Second is big data. Every time you speak on the phone or go on the internet, someone records it, he said. The amount of data is unlimited. Eden said he would be surprised if we use 2 percent of the data we generate, but in the future “we will.”

    Third is artificial intelligence (AI). No one could analyse all of that data, so AI came into play.

    Fourth is robots. He noted that they don’t always look like human forms. Most robots are just software doing some function...

     Eden ended by quoting a hero of his, former Israeli Prime Minister Shimon Peres, who told him: “Technology without ethics is evil. Ethics without technology is poverty. That’s why we have to combine the two.”
    Eden challenged the governments, the UN and all others to think about how to address this rapid change and come up with ideas.
    He challenged the governments, the UN and all others to think about how to address this rapid change and come up with ideas. Exponentially."

    Tuesday, June 10, 2014

    In Silicon Valley, Searching for Diversity in an Algorithm; Fox Business, 6/9/14

    Jennifer Booton, Fox Business; In Silicon Valley, Searching for Diversity in an Algorithm:
    "Mountain View, Calif.-based Google said its 46,000-person workforce is “miles” away from where Google would like to be. It blamed education, and touted its efforts to try and fix the problem such as sending engineers to historically black colleges to reinvent IT curriculums and investing in education for girls...
    “My concern is the 99% of other companies who want and need diverse teams but don’t have the team to recruit them,” Bischke said. “This could help level the playing field.”
    What Entelo provides is more than 20 million profiles of potential employees filled with publicly-available data pulled from sites like Twitter (TWTR) and LinkedIn (LNKD).
    Its proprietary algorithms then sort through this information using big data, predictive analytics and social cues, to determine the likelihood that people fall into a number of demographic subsets: female vs. male, white vs. black, etc.. It also identifies U.S. military veterans.
    "We realized we could do this with a high degree of accuracy,” Bischke said.
    The idea is that it would help companies to more cost-effectively and efficiently scour a wider group of potentially ethnically-diverse and qualified candidates, freeing up resources to focus on innovation, training, and ideally develop these people into future industry leaders."