Intelligence

Engineers, philosophers and sociologists release ethical design guidelines for future technology

If kids spend hours a day speaking to digital personal assistant Alexa, how will this affect the way they connect to real people? When a self-driving …

IEEE's A.I. Guidelines Will Usher in a World of Ethical Robots

By<p>Filed Under Innovation, Design, Robots & Work<p>The revolution will not be televised. It'll be sent to your inbox by us.<p>Artificial …

Robots

Taming Technology’s Social Impact

Engineering education is all about problem solving. Of course, we learn the basics of some technology – electronics, software, mechanical systems – …

p>As reliance on algorithmic decisionmaking expands, concerns are growing about the potential for arbitrary, unfair, or discriminatory outcomes in areas such as employment, credit markets, and criminal justice. Legal scholars have lamented the lack of accountability of these automated decision processes and called for greater transparency. They argue that the way to avoid unfair or discriminatory algorithms is to demand greater disclosure of how they operate. <i>Accountable Algorithms</i> resists this call for transparency, calling it “a naive solution.” Instead, it argues that technology offers tools—“a new technological toolkit”—that can better assure accountability.</p><p>One of the examples that Kroll et al. rely on to illustrate their argument is the goal of ensuring that algorithms do not discriminate. Many commentators have pointed out the risk that automated decision processes may produce biased outcomes, and in prior work, I have argued that serious policy concerns are raised when these algorithms exacerbate historic inequality or disadvantage along the lines of race, sex, or other protected characteristics—what I’ve referred to as “classification bias.” Recognizing that the precise meaning of discrimination is uncertain and contested, Kroll et al. do not try to resolve debates over the meaning of discrimination. Instead, without choosing among the competing definitions, they simply survey the available technical tools, suggesting that these tools will be more effective at ensuring nondiscrimination than calls for transparency.</p><p>Transparency involves outside scrutiny of a decision process, for example, by allowing third parties to examine the computer code or the decision criteria it implements. Auditing is another method for promoting transparency. When the goal is nondiscrimination, auditing could involve techniques to ensure that an algorithm follows a specified rule—for example, sorting must not occur based on race or sex. Alternatively, auditing for discrimination could take the form of examining inputs and outputs to detect when a decision process systematically disadvantages particular groups. The latter form of auditing does not involve direct examination of the decision process, but is useful in detecting patterns. This type of auditing, in the form of field experiments, is well established in the social science literature as a technique for testing for discrimination in decisions such as employment and consumer transactions. Auditing the effects of decisionmaking algorithms similarly offers a method of detecting when they may be biased against particular groups. Kroll et al., however, express skepticism about auditing as a strategy, arguing that it is not only technically limited, but also likely restricted by law. More specifically, they suggest that when an algorithm is found to have a disparate impact, the Supreme Court’s decision in <i>Ricci v. DeStefano</i> may prevent correcting for that bias.</p><p>This Essay responds to Kroll et al., arguing that, despite its limitations, auditing for discrimination should remain an important part of the strategy for detecting and responding to biased algorithms. Technical tools alone cannot reliably prevent discriminatory outcomes because the causes of bias often lie not in the code, but in broader social processes. Therefore, implementing the best available technical tools can never guarantee that algorithms are unbiased. Avoiding discriminatory outcomes will require awareness of the actual impact of automated decision processes, namely, through auditing.</p><p>Fortunately, the law permits the use of auditing to detect and correct for discriminatory bias. To the extent that Kroll et al. suggest otherwise, their conclusion rests on a misreading of the Supreme Court’s decision in <i>Ricci</i>. That case narrowly addressed a situation in which an employer took an adverse action against identifiable individuals based on race, while still permitting the revision of algorithms prospectively to remove bias. Such an approach is entirely consistent with the law’s clear preference for voluntary efforts to comply with nondiscrimination goals.</p

As reliance on algorithmic decisionmaking expands, concerns are growing about the potential for arbitrary, unfair, or discriminatory outcomes in …

Law

How to Find the Right Balance Between People and Machines

Is financial services a people industry?<p>The rising popularity of artificial intelligence and process automation suggests the answer is “no.” Recent …

Conversations, not chat bots

The technology enabling brands to automate customer conversations is out there, but successful implementation will require an entirely new way of …

Advertising (UK)

Companies Seek Better Products and Decision-Making From Cognitive Tech

1 of 12<p>Intro: A clear majority of organizations are making seven-figure investments into cognitive technology—with most of this budgeting allocated …

Enterprise Tech

Could Financial Trading Be The Model Of How To Use AI Effectively? | Articles | Chief Data Officer

The financial trading sector has been demonized over the past 30 years. We have even seen it in works of fiction where some of the most evil and …

Finance

Will we work for robots or will robots work for us?

In the context of automation, the future is always uncertain but it is also ripe with opportunity.<p>One in four people would rather work for a robot …

Robots

Global Cognitive Systems & Artificial Intelligence in BFSI Market Analysis, Trends, Key Players, Segmentation Opportunities and Forecasts Report till 2022

<b>Cognitive Systems & Artificial Intelligence in BFSI Market</b> Report covers the <b>present scenario and the growth prospects of the Cognitive Systems &</b> …

Artificial Intelligence

Why being great at your job is harder than it used to be

This fascinating New York Times video changed the way I think about career success.<p>It shows the world records in the men’s 100-meter sprint between 1896 and 2012. Notice anything interesting?<p>There’s almost a straight line of improvement of over time.<p>Now, if you have any curiosity about how the …

Warren Buffett

Lawyer-Bots Are Shaking Up Jobs - MIT Technology Review

Meticulous research, deep study of case law, and intricate argument-building—lawyers have used similar methods to ply their trade for hundreds of …

Artificial Intelligence to Transform Workplace Sooner Than Expected

Artificial intelligence and other emerging technologies are already changing businesses around the world. In many ways, that’s good news. But it also …

Artificial Intelligence

Getting Better Grades: AI’s Steady Advance in Real-Time Decisions

AI has made great strides in its abilities to make real-time decisions, but there’s a lot that technology’s star student still needs to …

Machine Learning

Bots are poised to take over the travel industry

It’s been a long time coming for road warriors — artificial intelligence is finally infiltrating the travel industry, and it’s bringing a host of new conveniences and capabilities with it. From personalized recommendations and booking to digital concierge service, here’s how AI will help make …

Business

Seeing the Forest Through the Trees: The Value of OSINT for the U.S. Navy

CIMSEC is committed to keeping our content FREE FOREVER. Please consider donating to our annual campaign now so we can continue to provide free …

Open Source Movement

Intelligence in a Time of Rapid Change - The Meir Amit Intelligence and Terrorism Information Center

محتوای سیبر کمی بهترین پیام وجود دارد<p>در حال حاضر هیچ نوشته متن محتوا،<p>Intelligence in a Time of Rapid Change<p>Full document in PDF format<p><b>Overview</b><p>Before …

The solution to our education crisis might be AI

Tomorrow’s Teachers<p>Robots will replace teachers by 2027.<p>That’s the bold claim that Anthony Seldon, a British education expert, made at the British …

It’s time for businesses to act ‘intelligently artificial’

Technology loves a good bit of shorthand, the shorter the better. Which is why, as we collectively try to wrap our heads around the confusing mass that is automation, robotics, machine learning, chatbots, et al., we grasp gratefully at the two letters “A” and “I” and slap them together on anything …

Machine Learning

Truth behind 'fact' that's scared the pants of young Australians this year

For me, one of the most significant economic developments of this year was realising how pessimistic many of our youth have become about their …

When Microsoft's AI-driven camera and mixed reality missions meet...

AI and mixed reality are technologies Microsoft, and other tech giants see as the future of computing. What type of experiences might Microsoft's …

Augmented Reality

Artificial Intelligence: A Complement To Great Storytelling

Technology today is forcing significant changes in the ways we communicate. Some technologies, like artificial intelligence, improve efficiencies (speed, quality, style) in our daily lives that many of us likely don’t even notice are happening. Similar to any technology that’s new to an industry, …

Artificial Intelligence

The future of work: Will you survive?

In 1930, economist John Maynard Keynes predicted that technological change and productivity improvements would eventually lead to a 15-hour work week.<p>…

John Maynard Keynes

The Importance of Women in Artificial Intelligence

It was once only an idea that machines would be able to think like humans. With the rapid advancements of technology, however, it is now a reality. …

Artificial Intelligence

Artificial Intelligence trends become today’s HR realities

The emergence of Artificial Intelligence (AI) technologies in the past years has profoundly impacted a tremendous number of companies and sectors. …

Chatbots

Sen. Cantwell and other policymakers want to create a federal committee to grapple with the coming AI revolution

Washington Sen. Maria Cantwell and several of her colleagues have introduced a bill that would set up a special advisory committee to prepare for the …

Artificial Intelligence

To fear or not to fear artificial intelligence?

https://www.timeslive.co.za/sunday-times/lifestyle/2017-12-11-to-fear-or-not-to-fear-artificial-intelligence/<p>Christs Dee delves into why humans are …

Artificial Intelligence

Helping Leaders Determine Where to Apply Artificial Intelligence - IT Peer Network

Artificial Intelligence (AI) is quickly playing a role in almost every business sector. There is a growing sense of urgency for organizations that …

Artificial Intelligence

Wovenware Predicts 2018 as Year AI Goes Mainstream

SAN JUAN, Puerto Rico, Dec. 11, 2017 (GLOBE NEWSWIRE) -- Wovenware, a nearshore provider of smart software solutions, today predicted that 2018 will …

Big Data

'Don't Fear Robots, Embrace An Android': Tom Watson Says New Machines Can Liberate Workers

But Labour to look at ban on 'algorithmic discrimation'<p>Empics Entertainment<p>Britons should “embrace an android” and welcome the rise of robots in the …

London Business School