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Recently, I've been discussing Professor John Lennox's book entitled 2084, which is all about the development and production of artificial intelligence. As an Atheist, I clearly have many differences with his Christian perspective. Wherever you sit with regard to the God question, Christianity, or the ethical concerns that are raised with the advancement of AI, you have to give varying perspectives their due. Today, I wanted to spend a moment chatting about how artificial intelligence is impacting the advertising world and the serious ethical questions that are raised by that. So let's begin with a couple of points from that book Professor Lennox wrote.
Marc Andreessen should need no introduction, but I'll do one anyway. He helped code the first widely used graphical web browser, Mosaic, which as I see it makes him one of the inventors of the internet. He co-founded Netscape and various other companies. He also co-founded the venture capital firm Andreessen Horowitz (with Ben Horowitz), also known as A16Z, one of the country's largest VC firms. Recently he has launched a media publication called Future, where he occasionally writes his thoughts. Marc has been a sort of hero of mine ever since I was a teenager, when Netscape Navigator felt like it opened up the world. I came out to California in part to meet people like him. Now we know each other well, and he's a subscriber to my blog! The thing I always like about talking to Marc is how he combines relentless optimism with the concrete knowledge to back up that optimism -- both knowledge of specific details and a broad understanding of various schools of thought. Lots of people will tell you the future holds amazing possibilities; Marc will tell you exactly what those possibilities are, and why they're possible.
Fox News Flash top entertainment and celebrity headlines are here. Check out what's clicking today in entertainment. Jennifer Aniston is still looking for love -- but she refuses to find it online. The "Friends" alum, 52, said in an interview published on Wednesday that she "absolutely" will not try dating apps to find a new partner. "Absolutely no," she told People.
Machine learning engineer Ari Font was worried about the future of Twitter's algorithms. It was mid-2020, and the leader of the team researching ethics and accountability for the company's ML had just left Twitter. For Font, the future of the ethics research was unclear. Font was the manager of Twitter's machine learning platforms teams -- part of Twitter Cortex, the company's central ML organization -- at the time, but she believed that ethics research could transform the way Twitter relies on machine learning. She'd always felt that algorithmic accountability and ethics should shape not just how Twitter used algorithms, but all practical AI applications.
The world's countries should pay attention to the ocean ecosystem collapse to prevent ecological catastrophe. Technological Disruption is a continuing unannounced world war. The A.I. and Quantum Computing capabilities are the two major branches. Since 1951, A.I. applications have been operating on the University of Manchester's Ferranti Mark 1 computer. The main issue has been a lack of processing capacity to execute and calculate increasingly complicated lines of A.I. algorithms in a shorter amount of time.
If you've been anywhere near the internet in the past few days, you've likely heard there's a sequel coming for The Legend of Zelda: Breath of the Wild. Nintendo dropped a 1.5-minute trailer for the game during last week's E3, and as soon as it hit, everyone on Twitter seemed to be talking about exactly the same thing. Gamers immediately started picking apart each scene for clues and debating what they might mean. It was fun, and then it was done. Once it's over there's nothing to do but cool your heels until the game's release.
We all know that there are troves of data that exist online about us and our browsing, clicking, and spending habits. However, given all that information and the people that spend their lives on the internet, how do those who tailor the ads we see parse that information? As with many things these days, it's useful to have machines to help. RJ Talyor is the CEO and founder of Pattern89, an Indianapolis-based marketing firm using the power of artificial intelligence (AI) to help advertisers figure out what works and what doesn't when it comes to the ads we see everyday. I spoke with him about how AI is helping marketers figure out not only who to target, but what elements to include in those ads.
Years ago, LinkedIn discovered that the recommendation algorithms it uses to match job candidates with opportunities were producing biased results. The algorithms were ranking candidates partly on the basis of how likely they were to apply for a position or respond to a recruiter. The system wound up referring more men than women for open roles simply because men are often more aggressive at seeking out new opportunities. LinkedIn discovered the problem and built another AI program to counteract the bias in the results of the first. Meanwhile, some of the world's largest job search sites--including CareerBuilder, ZipRecruiter, and Monster--are taking very different approaches to addressing bias on their own platforms, as we report in the newest episode of MIT Technology Review's podcast "In Machines We Trust." Since these platforms don't disclose exactly how their systems work, though, it's hard for job seekers to know how effective any of these measures are at actually preventing discrimination.