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AI models could help companies overcome human bias

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Machine learning algorithms can reinforce human bias, but representatives from HireVue Inc. and Kantar Millward…

Brown recently argued that they may also be able to remove our biases from processes.

HireVue CTO Loren Larsen said the AI models developed by the on-demand video interview platform company not only make the search for strong candidates more efficient, they also make it fairer for those applying.

The technology enables companies to scale the search process, meaning they can “take more chances and just let someone take [an interview] slot,” Larsen said at the recent Emotion AI Summit in Boston. By adding machine learning, HireVue is hoping to take things a step further and reduce human bias in the hiring process.

Take the example of how a candidate’s looks affect the job search. A HireVue data scientist developed an AI model to determine how much attractiveness might factor into hiring decisions. The model was trained on a public database of images and then was used to score attractiveness on a scale from one to 10.

“It turns out that if you got a seven or higher, you’re twice as likely to get hired than if you were a three,” Larsen said. That figure might be palatable if attractiveness equated to job performance, but, HireVue’s study couldn’t find a correlation between the two.

To that end, HireVue has striven to build AI models that can predict a job applicant’s potential performance — without a human in the loop. The models look for “traditional competencies,” according to Larsen, such as a candidate’s emotional awareness; negotiation skills; ability to collaborate, work with a team and learn.

HireVue’s AI models not only consider what’s being said by job candidates, but how it’s being said. They’re trained to factor in facial expressions and emotion — technology that’s powered by Affectiva, a software company spun out of the MIT Media Lab as well as the conference host.

AI models in advertising

At Kantar Millward Brown, a market research company based out of London, Affectiva’s software is helping make the case for more inclusive commercials. The company specializes in “advertising development work.” It helps clients understand how their ads are likely to be received by viewers and then finds ways to make them better.

“Some of that is done in what this audience may think of as a relatively old-school way: We show people the ads and ask them questions,” said Graham Page, executive vice president and head of global research solutions, at the summit.

Some of the work is done in a decidedly modern way. The firm films participants in a focus group as they watch an advertisement, and then it analyzes facial expressions and other  physiological data using Affectiva’s software “to understand the emotional response to the ad as it plays and what the key moments are that really resonated with people,” Page said.

For example, an analysis of advertisements done for Unilever, one of Kantar Millward Brown’s biggest clients, found that the ads categorized as “more progressive,” or more diverse, were 25% more effective than advertisements categorized as “less progressive,” or more stereotypical. And ads categorized as the least progressive were twice as likely to achieve the lowest scores on effectiveness, according to Page.

He described this study and others that have shown similar findings as “instructive” in that they help build a case for other businesses that “things like progressive advertisements are not only ethically the right thing to do, they’re also good for business,” he said.

‘IT departments suck’

IT’s reputation is still dubious, at least according to the VC panelists at the conference. When the moderator asked what advice the VCs could provide startups on how to sell to corporations, Krishna Gupta from Romulus Capital didn’t mince words: “IT departments suck.” He described integration as a rate limiter for many companies.

Janet Bannister, partner at Real Ventures in Montreal, suggested startups fret less about selling against other startups and more about selling against incumbents. She said large companies might understand that a startup can solve a problem better than the technology they’re currently using, but see the startup’s future as uncertain. “Having a strong use case, other customers using the product and great investors that will speak on the company’s behalf” may help assuage a large company’s concerns, she said.

Say what?!?

“Humans are unique. We’re awesome. Let’s get beyond that point and look at the attributes that we need in an artificial intelligence system that would enable us to trust it with more and more functionality. I think it’s a continuum. Just like ethics is a continuum. Morality is a continuum. … And I think we need to invite our machines into that continuum, that struggle, that wrestle that we’re in.” — Babak Hodjat, founder and chief scientist, Sentient Technology

“It’s kind of a tough time to think about how we encourage people to trust AI. And that’s particularly true given that some of the biggest businesses that use AI, particularly in the social sharing space, are at the absolute center of a massive crisis of trust.” — Graham Page, executive vice president and head of global research solutions, Kantar Millward Brown

Source: https://searchcio.techtarget.com/news/252449410/AI-models-could-help-companies-overcome-human-bias

Blockchain

XRP, Tron, Tezos Price Analysis: 01 March

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XRP could be in line for another sell-off as the 200-SMA looked to cross above the 50-SMA. Down the ladder, Tron and Tezos were projected to stick to a fixed channel, with a breakout largely dependent on the future movement of market leaders Bitcoin and Ethereum.

XRP

Source: XRP/USD, TradingView

The bearish nature of XRP’s market was evident on its 4-hour chart as the price remained below the 200-SMA (green) despite a slight recovery at the time of writing. Moreover, the long-term moving average looked positioned to cross above the 50-SMA (blue). The last time this development took place was when a lawsuit was announced by the U.S. Securities and Exchange Commission against Ripple which resulted in a massive price drop and a bear market that lasted for over a month.

The MACD line floated just above the signal line but momentum seemed weak on the buying side. The Stochastic RSI also tipped in favor of the bulls. A strong sell-off could be avoided if the indicators maintain a positive stance. If the sell-off does take place at the current level, $0.25 support could be in focus.

Tron [TRX]

Source: TRX/USD, TradingView

Tron continued to trade rangebound between $0.05 and $0.04 as momentum switched sides between the buyers and sellers. The Awesome Oscillator flashed green at the time of writing as momentum diverted back to the buyers.  The 24-hour trading volumes surged by over 27% and clocked in at $1.76 billion.

While it looked like Tron was poised to rise above its overhead resistance, low volatility according to the Bollinger Bands worked against a bullish outcome. That could change if buying picks up over the coming sessions. Conversely, a pullback in the broader market could see Tron move towards $0.036 support.

Tezos [XTZ]

Source: XTZ/USD, TradingView

A horizontal pattern formed on Tezos‘ 4-hour chart as the price oscillated between a resistance and support line since bouncing back from the $3.2 mark. For traders, sell signals were present on the upper trendline and buy signals on the lower trendline. Considering Tezos’ strong correlation with Bitcoin, the state of the king coin could determine the direction of a breakout from the channel.

The next resistance level lied at $4.3, while the next support rested at $2.7. The MACD line moved above the signal line as bullish momentum was on the up. The RSI also pointed north from around the 50-level.


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Source: https://ambcrypto.com/xrp-tron-tezos-price-analysis-01-march

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Why countries like the US can do better in terms of crypto adoption

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The interest in cryptocurrencies has been on the rise and the general awareness of the technology and its function as a digital asset has risen substantially in the past few years. While the United States has been open to innovation, the lack of regulatory clarity within the country has raised various concerns between people and businesses in crypto.

Whereas Asia has been enabling wide-spread adoption of cryptocurrency with countries like Japan and Hong Kong trying to form guidelines around cryptos. However, apart from the regulatory differences, the biggest difference could also be with regard to user behavior in these two regions.

Amber Group partner, Annabelle Huang, who recently appeared in Anthony Pompliano’s podcast stated that although the innovations were taking place in the United States of America, the greater chunk of adoption was coming from countries in Asia. The continent has also remained a hub for miners and crypto exchanges and according to Messari’s report, by the end of 2019 six out of ten of the largest cryptocurrency firms are located in Asia.

Huang noted:

“…The biggest difference is just the sentiment and the drive of people. I think in the States, just because there are a lot of regulatory constraints and concerns, people sometimes are more hesitant towards driving the business forward. But, in Asia, I think people are more eager to test things out, get things going on the ground. So, we do see a lot of early adoption in Asia.”

Asia has been a focal point for crypto adoption and nearly 42% of the market capitalization is based in the continent.

Source: Messari

The advantage Asia has been offering to new crypto projects is mainly due to the cultural mentality according to Huang who noted that:

“I think we see in Asia, in Korea and Japan, it is hard for people to find yield anywhere. […] Especially like, I guess, in Japan right, all the yields are negative and I think people are perhaps more inclined to find more opportunities and more acceptable to new things, so that’s why I think crypto adoption in Korea and Japan are highest among the world.”

Although China has remained apprehensive about cryptocurrencies, the country has been inching closer to launch its own Digital currency Electronic Payment [DCEP] system. As the market corrects itself, the coming changes in the market could also trigger changes in the sentiment across the globe about crypto, however, the regulations continue to remain in the gray area.


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Source: https://ambcrypto.com/why-countries-like-the-us-can-do-better-in-terms-of-crypto-adoption

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Blockchain

Hathor opens doors for Bitcoin traders

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KuCoin launches trading services for the trading pair HTR / BTC at 10:00 AM on March 2, 2021 (UTC).

The HTR / USDT trading pair is currently open for HTR.

HTR has also launched a grant program for projects that want to develop the Hathor ecosystem and contribute to the global adoption of blockchains.

Apply Now! #BuildOnHathor #HTR

https://landing.hathor.network/grantprogram2021

Disclaimer: This article is a paid post and must not be considered as news/advice. 


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Source: https://ambcrypto.com/hathor-opens-doors-for-bitcoin-traders

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