Affective Computing, Intersecting Sentiment and AI: The Video

Affective Computing is the combination of emotional intelligence with artificial intelligence. The role of emotion in AI is coming increasingly into focus as we attempt to integrate robots, digital assistants, and automation into social contexts. Interaction with humanity always involves sentiment, as demonstrated by the growing understanding that self-driving vehicles need to understand and react to their emotional surroundings–such as responding to aggressive driving. Meanwhile, sentiment analysis is growing independently in marketing as companies vie to create emotional response to products and react to social media comments. Meanwhile, in the uneven understanding of this technology, some still separate human from cyber systems on the basis of emotion.

AI must use and respond to emotional cues. This must be considered a component of the thought process. Companies are now beginning to focus upon this area, and combine it with the other elements of AI to build a more responsive and human-interactive technology.

Following are a few videos explaining where Affective Computing is heading. These are under standard YouTube license, and the descriptive information is, as usual, provided from the video landing page with minor edits.

The Human Side of AI: Affective Computing (Intel Software)

Published on Feb 13, 2017

Affective Computing can make us aware of our emotional state, helping us take better decisions, can help us to help others, or help machines make decisions to enrich our lives. There is another exciting use for emotional data: Machine Learning. This is where data is collected so the machine refines its understanding, to ultimately better personalize your experiences.

Imagine if the environments where you live and interact could personalize your experience based on how you feel in that moment. Imagine being able to provide superior care-giving to elderly, children and people with limited abilities.

The introduction is provided below. Some additional videos:

Affective Computing Part 1: Interpreting Emotional States to Unleash New Experiences

Affective Computing Part 2: Global User Insights and Recommendations for Developers

Artificial Intelligence meets emotional intelligence – CEO Summit 2016 (Mindtree Ltd.)

Published on Nov 8, 2016

With Artificial Intelligence (AI) gaining credence, Mindtree’s Chairman KK talks about the evolving roles of people and the importance of fostering emotional quotient (EQ) to remain relevant. He elaborates upon how Mindtree is helping its retail, finance, travel and hospitality clients reimagine customer service, the area most touched by AI and automation.

How Virtual Humans Learn Emotion and Social Intelligence (Tested )

Published on Aug 26, 2016

At USC ICT’s Virtual Humans lab, we learn how researchers build tools and algorithms that teach AI the complexities of social and emotional cues. We run through a few AI demos that demonstrate nuanced social interaction, which will be important for future systems like autonomous cars.

Shot by Joey Fameli and edited by Tywen Kelly
Music by Jinglepunks

Stanford Seminar: Buildings Machines That Understand and Shape Human Emotion (stanfordonline)

Published on Feb 3, 2017

Jonathan Gratch, Research Professor of Computer Science and Psychology at the University of Southern California (USC)

Affective Computing is the field of research directed at creating technology that recognizes, interprets, simulates and stimulates human emotion. In this talk, I will broadly overview my fifteen years of effort in advancing this nascent field, and emphasize the rich interdisciplinary connections between computational and scientific approaches to emotion. I will touch on several broad questions: Can a machine understand human emotion? To what end? Can a machine “have” emotion, and how would this impact the humans that interact with them? I will address these questions in the context of several domains, including healthcare, economic decision-making and interpersonal-skills training. I will discuss the consequences of these findings for theories of intelligence (i.e., what function does emotion serve in human intelligence and could this benefit machines?) as well as their practical implications for human-computer, computer-mediated and human-robot interaction. Throughout, I will argue the need for an interdisciplinary partnership between the social and computational sciences around to topic of emotion.



AI and Algorithms vs Fake News: The Video

Fake News is a huge and growing problem for elections, as demonstrated recently in the US. But fake news and false facts have been growing in every sector through social media. With active disinformation campaigns on the rise, and simplification of news items backed by increasing volumes of “fact bites” in an anarchic global conversation, determining what is true and what is false is not only extremely critical, it is also extraordinarily difficult.

AI has been cited as a possible route to fact checking in this environment, but this is now being understood as a potentially monumental task. There are routes to success, but they will require a close examination of false data and false narratives, a deeper understanding of underlying mechanisms, and a willingness to examine the meaning of “truth.”

Pushing the frontiers of Fake News may, in the last analysis, demand a General Artificial Intelligence. It could even lead to a tipping point in the creation of artificial understanding.

Here are a set of videos discussing this subject, all with the standard YouTube license; they have been provided along with their explanatory material to provide context.

Fake News Challenge on WTAE Pittsburgh (Dean Pomerleau)

Published on Jan 5, 2017

WTAE Pittsburgh reporter Michelle Wright interviews Dr. Dean Pomerleau of Carnegie Mellon University on his effort to fix the problem of fake news via a competition called the “Fake News Challenge”.

What started out as a bet with some friends has grown to become a large effort by teams of volunteers around the world, who will be competing to combine AI, machine learning and natural language processing to build systems that can help to identify fake news stories.

Pomerleau hopes the challenge will help to restore credibility to news organizations and civility to on-line discourse by quickly identify fake news, hoaxes & propaganda.

The results of the Fake News Challenge could be used by Facebook, social media companies, news outlets or fact checkers to quickly identify and stop the spread of fake news.

Tech&Check: The Future of Automated Fact-Checking (ThePoynterInstitute)

Published on Apr 4, 2016

“Tech & Check” co-hosted by the Duke Reporters’ Lab and Poynter’s International Fact-Checking Network was the first conference to explore the promise, challenges of automated fact-checking.

How Bots are Automating Fact-Checking (SXSW 2017)

Published on Mar 17, 2017

As news organizations and researchers explore how they can automate journalism, fact-checkers are breaking new ground with some intriguing experiments. At the University of Texas at Arlington, computer scientists have built ClaimBuster, a tool that can do the work of a dozen college interns by sifting through massive amounts of text to find claims to fact-check. At Duke, researchers have created iCheck, which automates the time-consuming process of checking claims about a candidate’s voting record. These and other tools show promising new ways that fact-checking can be automated. Also on the horizon: instant “pop-up” fact-checking on live TV.

AI Can Tell Real News from the Fake (Infosys)

Published on Mar 19, 2017

People who get their news from social media sites are particularly susceptible to fake news. Often times readers don’t even realize that what appears on social media may not be legitimate news. It is time for large news platforms to assess the current situation, and figure out which AI-enabled security technology could best be wrapped around their proprietary, consumer-facing offerings. Not only should content providers be proactive about protecting the authenticity of information on their platforms, there is also a need to acknowledge that for IoT to succeed, they must have robust security measures in place that are powered by AI.


Ring the Welkin: Everything is Related, and a New Era has Begun

We cannot ignore the outside world as technology continues to press forward. Technology affects economies, jobs, and public opinion. It will continue to inform aspirations, fears, and political dialogues around the world.

The impact of recent technology has been so profound that society has not really caught up with it. This is the “Cartoon Cliff” effect. People continue forward just as they always have, until that moment where they look down and discover the earth is so very far below. Perhaps with the US Election, that moment has arrived.

Society reacts. Hope for the best, plan for the worst, and remember that the outcome is far from certain. The past is not necessarily a guide to the future. But it is important to remain optimistic. Adjustments are always necessary, no matter how painful they might be. There will be new opportunities and new possibilities. Even as some doors begin to close, others will open. Changes in the geopolitical lineup will hasten trends that have been building for years.

Analytics of Who You Are: The Video

It’s time to take a look at analytics and identity. There has been a lot of progress in understanding the social media firehose of customer data, and this is becoming a crucial province of AI and advanced analytics. At the same time, understanding and verifying identity is a key component of security , and of human resources.

We recently discussed Location Analytics videos in Analytics of Where You Are: The Video. Good video and animation can make complex ideas easier to understand and to remember. There have been a lot of very significant advances in identity analytics recently, and clarification seems like a pretty good idea.

We’ve assembled a set of four videos that were mainly produced as advertising, but still offer an engaging visual exploration of the subject.

Note that we are not endorsing these companies or their methods; we just like their videos! Feel free to comment or suggest analytics videos that make a compelling case or provide an appealing representation of the technology.

IBM Customer Experience

SAP Hybris Cloud (from BaselinerTV)

LexisNexis Identity Management

Neustar Customer Identity Verification & Marketing Analytics

Analytics of Where You Are: The Video

Location Analytics continues to grow in importance as technologies such as machine learning and mobile sensing converge and new use cases are discovered. Advertising, ecommerce, and performance management uses have been proliferating, and they are now being joined by security, location-based restriction, and an increasing range of possibilities in robotics and the IoT.

Location analytics is important, whether it is on the macro geolocation level or at the micro internal level of process control. As with robotics, there are some great visual stories that encapsulate the possibilities; but they exist in a cloud of Powerpoints. Understanding the importance of location is a decidedly visual thing.

We’ve assembled a set of four videos intended as advertising that provide a good visual exploration of the subject. As with some of the finer robotics issues, you really have to see it to believe it! Compelling video helps you to visually identify concepts and place them in a context of everyday life.

Note that we are not endorsing these companies or their methods; we just like their videos! Feel free to comment or suggest analytics videos that make a compelling case or provide an appealing representation of the technology.

Proximus Analytics


SweetIQ Analytics

ESRI Location Analytics

Facebook Adds Nascent to its Thingaverse

Facebook is bolstering the less-publicized hardware side of its business with acquisition of Nascent Objects, a company that has developed a modular consumer electronics platform. According to Nascent’s website:

Nascent Objects was founded on the principle that product development shouldn’t be so hard. That’s why we created the world’s first modular consumer electronics platform – to make product development fast, easy and accessible. By combining hardware design, circuitry, 3D printing and modular electronics, our technology allows developers to go from concept to product in just weeks, much faster and less expensive than traditional methods.

Nascent joins Oculus and other experiments in Facebook’s “Building 8,” a hardware lab set up by the company in April of this year. Facebook is ramping up its virtual reality, 3d printing, and modular development initiatives to compete in the new world of the IoT. Competitors and potential competitors such as Apple, Google, and Amazon are all vying for an edge in an area where many of the opportunities are only dimly understood.

Modular rapid-prototyping may be a good fit for a company wishing to rapidly expand hardware offerings in potentially explosive markets.