AI News, AI and Machine Learning in Ecommerce: Real artificial intelligence
- On Friday, November 8, 2019
- By Read More
Stories of AI Failure and How to Avoid Similar AI Fails
This article includes stories of recent, high-profile AI fails, as well as information and advice on how to avoid your own AI failure: Full disclosure if you’re new to Lexalytics: we provide a software platform that uses AI and machine learning to help people analyze text documents, including tweets, reviews and contracts.
The first line of the press release boldly declares, “MD Anderson is using the IBM Watson cognitive computing system for its mission to eradicate cancer.”
IBM’s role was to enable clinicians to “uncover valuable insights from the cancer center’s rich patient and research databases.”
In July 2018, StatNews reviewed internal IBM documents and found that IBM’s Watson was making erroneous, downright dangerous cancer treatment advice.
including one case where Watson suggested that doctors give a cancer patient with severe bleeding a drug that could worsen the bleeding.
The phone’s shiniest new feature was Face ID, a facial recognition system that replaced the fingerprint reader as your primary passcode.
Apple said that Face ID used the the iPhone X’s advanced front-facing camera and machine learning to create a 3-dimensional map of your face.
The machine learning/AI component helped the system adapt to cosmetic changes (such as putting on make-up, donning a pair of glasses, or wrapping a scarf around your neck), without compromising on security.
But a week after the iPhone X’s launch, hackers were already claiming to beat Face ID using 3D printed masks. Vietnam-based security firm Bkav found that they could successfully unlock a Face ID-equipped iPhone by glueing 2D “eyes”
Bkav’s claims, outlined in a blog post, gained widespread attention, not least because Apple had already written that Face ID was designed to protect against “spoofing by masks or other techniques”
As one Amazon engineer told The Guardian in 2018, “They literally wanted it to be an engine where I’m going to give you 100 résumés, it will spit out the top five, and we’ll hire those.” But eventually, the Amazon engineers realized that they’d taught their own AI that male candidates were automatically better.
In 2018, the American Civil Liberties Union showed how Amazon’s AI-based Rekognition facial recognition system According to the ACLU, “Nearly 40 percent of Rekognition’s false matches in our test were of people of color, even though they make up only 20 percent of Congress.” In fact, that’s not even the first time someone’s proven that Rekognition is racially biased.
In another study, University of Toronto and MIT researchers found that every facial recognition system they tested performed better on lighter-skinned faces.
Seriously, just read this article from The Guardian: How white engineers built racist code – and why it’s dangerous for black people Microsoft and Apple aren’t the only companies who’ve made headlines with embarrassing AI fails.
Together, these 5 AI failures cover: chatbots, political gaffs, autonomous driving accidents, facial recognition mixups, and angry neighbors.
In the rush to stay ahead of the technology curve, companies often fail to consider the impact of their inherent biases.
This is particularly dangerous for companies working in data analytics for healthcare, biotechnology, financial services and law.
Just look at Watson for Oncology: data bias and lack of social context doomed that AI project to failure and sent $62 million down the drain.
As cars become more complex, insurance companies advise owners to keep up with preventative maintenance before the cost of repairs becomes staggering.
In this article on Forbes, he examines a number of business applications for AI solutions to: “Building a business case for AI isn’t so different from building one for any other business problem,”
Jeff puts it best: “With the right business case and the right data, AI can deliver powerful time and cost savings, as well as valuable insights you can use to improve your business.”
- On Tuesday, May 26, 2020
Artificial Intelligence And Machine Learning In E-Commerce | Global Tech Council
AI and ML have the potential to optimize an E-commerce business. They can provide several benefits, such as automated processes, targeted potential ...
How is AI really impacting society? | AI for Ecommerce
What we're about to explore are the possibilities of deep learning which are already enabling machines to peek into the future. Driven by data the predictions ...
Use Cases of Artificial Intelligence in E-commerce | A Question of AI
Artificial Intelligence is growing increasingly popular among different verticals across the globe. In this video, we are going through the different use cases of #AI ...
An Organic Growth Tale: Why B2B Needs AI and Predictive Solutions
Meet James, Senior VP of Sales at Acme Distribution, an industrial distribution company. As the company grew, the business became increasingly complex with ...
AI disruption in e-commerce - David Drollette (Wayfair)
The confluence of a data rich environment and smarter/powerful computing techniques has made AI disruption in e-commerce a natural consequence. Machine ...
Voxel51 provides video insights using AI
Voxel51 is a built in AI platform that lets users extract insights from video. The TC Top Picks program showcases outstanding early-stage startups across these ...
How AI (Artificial Intelligence) is Changing Pricing and Selling Today | AWeurope 2016
How AI (Artificial Intelligence) is Changing Pricing and Selling Today Three stories about Artificially Intelligent pricing. First, how it is affecting your business ...
AI in Marketing
Audience targeting and automatic content creation are just a few of the many ways AI can be used to help grow your user base and increase sales. In this video ...
Deep learning and AI applications in ecommerce and retail for 2019
Discover how the ecommerce and physical retail industries are using deep learning to attract, engage, and maintain relationships with customers. Learn more at ...