Machine Learning And Human Bias: An Uneasy Pair

“We’re watching you.” This was the warning that the Chicago Police Department gave to more than 400 people on its “Heat List.” The list, an attempt to identify the people most likely to commit violent crime in the city, was created with a predictive algorithm that focused on factors including, per the Chicago Tribune, “his or her acquaintances and their arrest histories – and whether any of those associates have been shot in the past.”

Sourced through Scoop.it from: techcrunch.com

By Jason Baldrigde. Humans are biased, and the biases we encode into machines are then scaled and automated.

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Learning to Lead Without Authority

What started off as an innocuous query from my leader soon became a chance to explore and grow myself as an individual contributor at a deeper leadership level — someone who doesn’t need a hierarchy, department or budget to make an organizational impact.

Sourced through Scoop.it from: www.huffingtonpost.com

By Tathagat Varma. Are you ready to take the plunge into leadership without the crutch of authority to lean on?

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What impact will artificial intelligence have on our jobs?

How will the workforce – and mankind – adapt if we create machines that are smarter than us, asks Bernard Marr.

Sourced through Scoop.it from: agenda.weforum.org

Others say we have much bigger problems to worry about than being destroyed by sentient robots; but if we continue along this path, outsourcing so many human jobs to robots and computers without making up for it with better education and training, we may not need a fanciful all-knowing computer to destroy us. We’ll have done it to ourselves.”

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It’s Time to Tap into the Cloud Data Protection Market Opportunity

Until now, most businesses did not have the access or resources to implement more complete data protection, including advanced backup, disaster recovery, and secure file sync and share. The good news is that companies today have more options for data protection than ever before.

Sourced through Scoop.it from: mspmentor.net

By Jeff Stiles. Marketing officer at Acronis.

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Is artificial intelligence really an existential threat to humanity?

Superintelligence: Paths, Dangers, Strategies is an astonishing book with an alarming thesis: Intelligent machines are “quite possibly the most important and most daunting challenge humanity has ever faced.” In it, Oxford University philosopher Nick Bostrom, who has built his reputation on the study of “existential risk,” argues forcefully that artificial intelligence might be the most apocalyptic technology of all.

Sourced through Scoop.it from: thebulletin.org

By Edward Moore Geist. Book review.

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How many people does it take to build a network out of phones? Fewer than you think. — Medium

FireChat connects all nearby phones into a network and uses this network to pass messages. Today, we are launching private off-the-grid messaging. FireChat uses unlicensed spectrum to create a heterogenous ad hoc network for messaging. Connections using unlicensed spectrum are fairly short-range: about 40 yards in most situations, but up to 70 if the conditions are right. While the throughput of these connections differs depending on technology — Wi-Fi Direct is considerably faster than Bluetooth Low Energy — the range is pretty similar.

Sourced through Scoop.it from: medium.com

By Stanislav Shalunov. If even a small fraction of people are connected to the Internet, they can help bridge any gaps that might arise below percolation threshold. In effect, when Internet connectivity is taken into account, you only need enough density to connect to someone, not to everyone, to pass messages.

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The Internet Of Things Is About Data, Not Things

Companies today are grappling with the Internet of Things (IoT), a large network of physical devices that extends beyond the typical computer networks, encompassing devices, industrial equipment, sensors, and extended products. For some manufacturers everything they build could feed into IoT, from cars to buildings or even consumer products. 

Sourced through Scoop.it from: www.forbes.com

By John Fruehe. 

Keep in mind that the data being generated may need to live for long periods of time, and your corporate data handling and data retention policies may need to be aligned to the new reality of this type of data, because it is a whole new world in IoT and the data old rules may not cleanly apply.

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