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Stephen Dale

Pandorabots: Home - 0 views

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    "Chatbots reach people on the channels they prefer, enabling personalized, two-way communication at scale."
Stephen Dale

Big Four Giant PwC Announces Blockchain Auditing Service - 0 views

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    "Price Waterhouse Cooper LLP has announced a blockchain audit service that it claims will encourage people to use the still new technology, according to The Wall Street Journal."
Stephen Dale

a foundation for the future of work - 1 views

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    "The automation of work by machines, including AI, and the increasing interconnectedness between people, machines, and ideas. In the book, Only Humans Need Apply, the authors identify five ways that people can adapt to automation and intelligent machines."
Stephen Dale

How white engineers built racist code - and why it's dangerous for black people | Technology | The Guardian - 1 views

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    Researchers at the MIT Media Lab, think that facial recognition software has problems recognizing black faces because its algorithms are usually written by white engineers who dominate the technology sector. These engineers build on pre-existing code libraries, typically written by other white engineers.
Stephen Dale

Bias, not robots on the rampage, is the key test of artificial intelligence | Business | The Times & The Sunday Times - 0 views

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    Hidden biases may be written inadvertently into the algorithms used to decide who gets a job interview or who qualifies for a loan or for parole. If a data set considers the word "programmer" closer to the word "man" than "woman," or if you build a system that learns from Wikipedia, where only 17 per cent of profiles of notable people are women, these biases will be perpetuated in the machine.
Stephen Dale

Advanced social technologies and the future of collaboration | McKinsey & Company - 0 views

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    "The next generation of social technologies is beginning to transform the way people communicate and work with each other, according to a new survey."
Stephen Dale

Google's People + AI Research Initiative Sets Out to Solve Artificial Stupidity | WIRED - 0 views

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    Virtual assistants get infuriating when they fail to do something we expect to be within their capabilities. Researchers are interested in studying how people form expectations about what such systems can and can't do-and how virtual assistants themselves might be designed to nudge us toward only asking things that won't lead to disappointment. One of the research questions is how do you reset a user's expectations on the fly when they're interacting with a virtual assistant.
Stephen Dale

How business intelligence can help non-techies use data analytics - 0 views

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    Big data is now moving from the sole care of data scientists and becoming accessible to employees throughout organizations. The mystique surrounding data analytics is falling away, with tools designed to let non-technically-minded people understand metrics.
Stephen Dale

Inside the black box: Understanding AI decision-making | ZDNet - 1 views

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    Artificial intelligence algorithms are increasingly influential in peoples' lives, but their inner workings are often opaque. We examine why, and explore what's being done about it.
Stephen Dale

A Human Search Engine That Beats Google - 0 views

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    "For problems that are original, whose answers are not already known, and that require intuition, judgment and ingenuity, you need people. Smart people who not only know how to search, but who have the expertise and judgment to know whether what they've found is most relevant to solving the problem at hand."
Stephen Dale

OracleVoice: How Machine Learning Will Drive The Adaptive Enterprise - 0 views

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    "Continual learning is integral to the human experience. People who can learn faster and better than others tend to do well in life. The same is true for successful organizations."
Stephen Dale

Recipe for a good YamJam | digitalworkplace - 0 views

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    YamJam is the name used by many Yammer networks to define a focused online discussion, where a group of people get together at the same time to share ideas, questions and views usually on a single topic. YamJams can broadly be considered like online press conferences with everyone having a voice.
Gary Colet

Why Facts Don't Change Our Minds - The New Yorker - 0 views

  • In a study conducted at Yale, graduate students were asked to rate their understanding of everyday devices, including toilets, zippers, and cylinder locks. They were then asked to write detailed, step-by-step explanations of how the devices work, and to rate their understanding again. Apparently, the effort revealed to the students their own ignorance, because their self-assessments dropped. (Toilets, it turns out, are more complicated than they appear.) Sloman and Fernbach see this effect, which they call the “illusion of explanatory depth,” just about everywhere. People believe that they know way more than they actually do. What allows us to persist in this belief is other People. In the case of my toilet, someone else designed it so that I can operate it easily. This is something humans are very good at. We’ve been relying on one another’s expertise ever since we figured out how to hunt together, which was probably a key development in our evolutionary history. So well do we collaborate, Sloman and Fernbach argue, that we can hardly tell where our own understanding ends and others’ begins. “One implication of the naturalness with which we divide cognitive labor,” they write, is that there’s “no sharp boundary between one person’s ideas and knowledge” and “those of other members” of the group.
  • ween one person’s ideas and knowledge” and “those of other members” of the group.
  • ween one person’s ideas and knowledge” and “those of other members” of the group.
  • ...1 more annotation...
  • ween one person’s ideas and knowledge” and “those of other members” of the group.
Stephen Dale

Will robots actually take your job? - 2 views

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    The implications of advancing technology to a point where its applications can mimic, assume or replace the role of people, to a point where humankind is no longer needed to guide such developments, leads to a multitude of questions about what this means for the future of society.
Stephen Dale

When your boss is an algorithm - FT.com - 0 views

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    We live in strange times. These are workers without a workplace, striking against a company that does not employ them. They are managed not by people but by an algorithm that communicates with them via their smartphones. And what they are rebelling against is an app update.
Stephen Dale

Smart Wikis - rapidly connecting people to prime information, most relevant ata and best practice know-how - 1 views

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    "Smart Wikis™ combine Artificial Intelligence and knowledge concepts with your existing IT to provide integrated collaborative working environments that anticipate each user's personal information needs and surround that user with seamless and non-obtrusive forms of assistance."
Stephen Dale

What It Takes To Be Human (Paid Post by UBS From The New York Times) - 1 views

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    This is a journey to explore the latest innovations in AI and, most importantly, its human element, to ultimately answer the controversial questions: What physical human characteristics and emotions must a robot have to make people react to it? And, obversely, Can AI recognize human emotions?
Stephen Dale

Dunning-Kruger effect - RationalWiki - 1 views

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    The Dunning-Kruger effect, named after David Dunning and Justin Kruger of Cornell University, occurs where people fail to adequately assess their level of competence - or specifically, their incompetence - at a task and thus consider themselves much more competent than everyone else. This lack of awareness is attributed to their lower level of competence robbing them of the ability to critically analyse their performance, leading to a significant overestimate of themselves.
Stephen Dale

Gartner Predicts Our Digital Future - Smarter With Gartner - 0 views

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    These scenarios describe two predictions in what will be an algorithmic and smart machine driven world where people and machines must define harmonious relationships.
Stephen Dale

The Barriers to Working like a Network in Office 365 - 0 views

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    To work like a network means more than knowing who people are or what they are doing. It means being able to leverage relationships to get work done and build relationships through shared work.
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