AI News, What Are The Negative Impacts Of Artificial Intelligence (AI)? artificial intelligence

Shaping the Future of Technology Governance: Artificial Intelligence and Machine Learning

Accelerating the societal benefits of artificial intelligence and machine learning while ensuring equity, privacy, transparency, accountability and social impact.

As rapid advances in machine learning (ML) increase the scope and scale of AI’s deployment across all aspects of daily life, and as the technology can learn and change on its own, multistakeholder collaboration is required to optimize accountability, transparency, privacy and impartiality to create trust.

The Real Economic Impact of Artificial Intelligence (AI): Hint It Isn’t Massive Unemployment

Supervised learning (of which the hottest buzz is in deep learning, a specific type of supervised model) can be used to answer questions like “which of my customers are most likely to churn?” or “what product would this customer be most likely to purchase?”.

What happened instead was that new technology diminished the need for certain skills/occupations while increasing the need for others that could either (1) work with the new technology, (2) supply the new technology with the necessary inputs, (3) use the products from new technology in other downstream applications, or (4) satisfy demand of people who made money with the new technology.

Obviously, within an industry, jobs focused on doing tasks that machines automate go away, but as the industry overall becomes more productive due to the new technology, labor demand in non-automated tasks could actually increase.

Owners of capital for new technology benefit from renting their equipment to companies, and that rise in income raises their demand for purchasing goods and services, which in turn drives demand for jobs involved in those areas, creating new opportunities for labor.

As a basic example, the internet created a whole host of millionaires and billionaires through founding and/or working for tech companies, leading to surges in demand for goods and services those people liked even though those companies created products that automated away lots of existing job tasks (like Microsoft with Excel).

The net balance then of technology on labor involves analyzing these four different impact channels: (1) direct effects, (2) final demand effects, (3) upstream effects, and (4) downstream effects.

When Autor and Solomons crunch the numbers, they find that technology is typically net negative in (1) direct effects as the new technology displaces labor in industries where it is applied, but the other channels tend to be overall positive on labor markets and outweigh the direct negative impact on the industry itself.

In this way the introduction of new technology is quite similar to the impact of globalization: it has concentrated harm on a few individuals who will lose the jobs they have today, but the overall impact on the economy is larger as it creates new economic opportunities for people and results in generally higher quality products and/or lower prices.

The central policy question then is not whether we can support massive amounts of unemployment as all jobs disappear due to improvements in AI, but rather, can we do a better job of helping people adjust to the inevitable disruption to labor markets from technology, learning lessons from the first days of globalization and first wave of automation that this adjustment cost is not frictionless and can have a huge negative impact on the people who are directly affected.

19 examples of artificial intelligence shaking up business as usual

Examples of artificial intelligence (AI) in pop culture usually involve a pack of intelligent robots hell-bent on overthrowing the human race, or at least a fancy theme park. Sentient machines with general artificial intelligence don't yet exist, and they likely won't exist anytime soon, so we're safe...

Additionally, tech billionaire Elon Musk, long an advocate for the regulation of artificial intelligence, recently called AI more dangerous than nukes. Despite these legitimate concerns, we're a long way from living in Westworld.

How it's using AI: That makers of the popular Roomba, iRobot, are back with a new, much smarter robotic vacuum.  The Roomba 980 model uses artificial intelligence to scan room size, identify obstacles and remember the most efficient routes for cleaning.

The company completed its first year as a purely consumer-focused business in 2017, pulling in $883.9 million in revenue, and has shipped more than 10 million Roombas since 2002.

Hanson plans to introduce an entire line of robots like Sophia, which they believe 'have immediate applications as media personalities in movies and TV shows, entertainment animatronics in museums and theme parks, and for university research and medical training applications.'

Olly's personality comes from a mix of machine learning algorithms that teach the robot to gradually be more like its owner.  Emotech's AI-powered technology can understand a user’s facial expressions, voice inflections and verbal patterns to proactively start conversations and make pertinent suggestions.

Artificial intelligence is proving to be a game-changer in healthcare, improving virtually every aspect of the industry from robot-assisted surgeries to safeguarding private records against cyber criminals.

The Pager app allows any user to chat with a nurse via text 24/7, talk to a doctor via video chat and have prescriptions filled as needed.

Using technology based on convolutional neural networks, Atomwise's algorithms can 'extract insights from millions of experimental affinity measures and thousands of protein structures to predict the binding of small molecules to proteins.'

The company’s AI has improved hit rates by 10,000x and screens 10 to 20 million compounds a day while identifying characteristics of patients for clinical trials.

As the industry takes note of AI's efficiency and accuracy, it is rapidly implementing automation, chatbots, adaptive intelligence, algorithmic trading and machine learning into financial processes.

Industry: Fintech, Impact Investing Location: NYC How it's using AI: Betterment is an automated financial investing platform and a pioneer of robo-advisor technology that uses AI to learn about an investor and build a personalized profile based on his or her financial plans.

Betterment's robo-advisors use algorithms to automate tax loss harvesting, trading, transactions and portfolio management, all tasks that used to require a lot of human elbow grease and know-how.

The system's ability to scan millions of data points and generate actionable reports based on pertinent financial data saves analysts countless hours of work.

Simply put, the more algorithms at work, the better.  Industry impact The company is top secret about the makeup of the fund, its clients and performance, but has more than 35,000 data scientists contributing to its platform and has paid out some $15 million worth of its cryptocurrency.  Related Article14 Companies Using AI to Innovate Finance

AI-powered chatbots are rapidly changing the travel industry by facilitating human-like interaction with customers for faster response times, better booking prices and even travel recommendations.

For example, telling a travel chatbot you want to go to Paris might yield a natural language response suggesting flights, hotels and things to do in City of Light based on a user's preferences culled from the conversation.

With AI-enabled mapping, the search giant's technology scans road information and uses algorithms to determine the optimal route to take, be it on foot or in a car, bike, bus or train.

With more than 2.77 billion active profiles across platforms like Twitter, Facebook and Snapchat, social media is in a constant battle to personalize and cultivate worthwhile experiences for users.

With its ability to organize massive amounts of data, recognize images, introduce chatbots and predict shifts in culture, AI is highly valuable to an industry with billions of users and about $45 billion in annual revenue.

Additionally, advanced machine learning is likely to prove critical in an industry that's under pressure to police fake news, hate speech and other bad actors in real time.

How it's using AI: Whether it's Messenger chatbots, algorithmic newsfeeds, photo tagging suggestions or ad targeting, AI is deeply embedded in Facebook's platform.   The company's artificial intelligence team recently trained an image recognition model to 85% accuracy using billions of public Instagram photos tagged with hashtags.

The company's image cropping tool also uses AI to determine how to crop images to focus on the most interesting part.  Twitter’s AI was recently put to work identifying hate speech and terroristic language in tweets. In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95% of which were found by non-human, artificially intelligent machines.

Whether it's the company's recommendations on which products to buy, the warehouse robots that grab, sort and ship products or the web services that power the website itself, Amazon employs artificial intelligence in almost every step of its process.

Artificial intelligence is helping marketers build in-depth customer insight reports, power pertinent content creation and book more impactful business meetings — all without a large human influence.

Marketers can then use the company's software and machine learning capabilities to run thousands of experiments at scale.  In one case study, a company using Amplero to increase upsell lowered its acquisition cost from $40 to $1 and experienced an 88% lift in average revenue per postpaid customer.

Industry: Marketing Automation Location: Boston How it's using AI: Drift uses chatbots, machine learning and natural language processing to help businesses book more meetings, assist customers with product questions and make the sales cycle more efficient.

Additionally, the company's 'Drift Assistant' automates email replies, routing leads and updating contact information.  Companies like Toast and Zenefits are using Drift to fulfill quality sales leads in minutes rather than days.

Can We Offend Androids and Artificial Intelligence Machines?

In the 1982 film Blade Runner, private eye Rick Deckard uses the Voight-Kampf apparatus to determine whether an individual is a synthetic human, or replicant.

Neuroscientists at the Cambridge University recently scanned participants to quantify their neural reactions to images of humans versus robots, accompanied by ratings that measured subjects’ likability and humanness.

Their brain activity altered as the line between robot and human became more blurred, specifically activity in the amygdala which is associated with anxiety, fear, and negative valence.

The android hosts of Westworld are designed to seem as human and likable as possible so that visitors feel unencumbered to act out their unacknowledged desires, whether that is adventuring in the mountains or falling in love by a river.

Artificial Intelligence and the future | André LeBlanc | TEDxMoncton

This talk was given at a local TEDx event, produced independently of the TED Conferences. In his talk, Andre will explain the current and future impacts of ...

AI Impact on Jobs & the Skills of the Future

Recently, we've been hearing a lot of talk about AI impact on Jobs and what the skills of the future will look like! In this video, we are going to explore what the AI ...

How Dangerous is Artificial Intelligence?

In Avengers: Age of Ultron, the villain (Ultron) starts out as an artificial intelligence experiment gone wrong. Is this just Hollywood storytelling, or should we be ...

The DANGERS of Artificial Intelligence!

What are the DANGERS of Artificial Intelligence?! AI is still bad at learning but could it end humanity sometime in the future? Find out all about the dangers of ...

How Will Artificial Intelligence Affect Your Life | Jeff Dean | TEDxLA

In the last five years, significant advances were made in the fields of computer vision, speech recognition, and language understanding. In this talk, Jeff Dean ...

Top 6 Dangers of Artificial Intelligence

The major breakthrough of true artificial intelligence is not very far away leading scientists have said, but is it the first step on a path to destory humanity?

AI ethics and AI risk - Ten challenges

How dangerous could artificial intelligence turn out to be, and how do we develop ethical AI? Risk Bites dives into AI risk and AI ethics, with ten potential risks of ...

The Real Reason to be Afraid of Artificial Intelligence | Peter Haas | TEDxDirigo

A robotics researcher afraid of robots, Peter Haas, invites us into his world of understand where the threats of robots and artificial intelligence lie. Before we get ...

Impact of the Artificial Intelligence and Robotics on the Economy and Society

Martin Ford, author of the NYTimes Bestseller, “Rise of the Robots” and winner of the 2015 Financial Times/McKinsey Business Book of the Year Award shares ...

How artificial intelligence will change your world in 2019, for better or worse

From a science fiction dream to a critical part of our everyday lives, artificial intelligence is everywhere. You probably don't see AI at work, and that's by design.