Emotion AI Summit 2018

Trust in AI

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Event Date:

September 6th

Event Location:

The State Room - Boston, MA

Presented by:


Trust in AI

We live, work and play alongside Artificial Intelligenceit’s ingrained in the fabric of our lives. It can be seen in the devices and technologies we use across society: at home, in the places we work, and in our cars.

Today, AI is doing things on our behalf. It’s making us more efficient, faster and sometimes even happier. But with so many aspects of life being touched by AI, we’re at a precipice, as the technology increasingly takes on roles traditionally held by humans, and becomes more personal in the ways that it interacts with us. As such, we need to ask ourselves: what it takes for humans to trust AI to make the right decisions—decisions that influence our lives, and for the greater good. And not only that, but how can AI trust in humans?

There are numerous examples where this new social contract does not existor notions of trust have been violated. How can we, as an ecosystem, come together to realize "Trust in AI"? What are the considerations and challenges? What does success look like?

Join us at this year’s Emotion AI Summit where we will discuss Trust in AI, and how this manifests itself in vastly different areas: from automotive and robotics, to healthcare, education and even advertising. We will also explore how Emotion AI is a key component of building trust between humans and technology.

What You'll Experience at the Emotion AI Summit

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The Speakers


Main Stage

Registration and Breakfast


Opening Keynote

Rana el Kaliouby, Ph.D. Rana el Kaliouby, Ph.D.


The Blind Portrait

Born in Tel Aviv, Israel and based in Los Angeles, California, Turgeman's canvas has always been the natural world itself. Her most acknowledged work to date, The Little House, a large scale mirrored house, with a crawl space leading to an infinite chamber, toured to 5 locations including MAMA Gallery in Los Angeles and Rumney Guggenheim in New York. Turgeman's thought provoking experiences expand the imagination and stir perception. She is now on a quest to gaze into the eyes of 10k people. This quest has come to life in efforts to raise awareness on the importance of human connection. Through a 45 second eye gazing exercise she is able to create a connection and illustrate a one line intuitive portrait of each subject. She does this without looking at the paper, in one shot and using one line. She calls these a portrait of your essence. Moral has conducted blind portraits across 8 countries and countless cities. As she grows closer to 10,000 portraits a global network of individual connections are created. This network will come together upon the project completion.

Moral Turgeman Moral Turgeman
Sensory Artist

Session Theme

Trust in AI: On the Go!

The automotive industry is under disruption: rapid advances in autonomous driving, new car companies going direct to consumers, and a rise of ride sharing. We see more automation aiming to make driving safer and more enjoyable, but causing a lot of consumer distraction and frustration. All of these dynamics are forcing car manufacturers to not only improve road safety, but also to rethink the future of transportation and the consumer brand experience. Trust is at the core of this. In this session automotive thought leaders will explore how AI can build trust in next-generation vehicles.


Building Trust in Next Generation Vehicles

Regina Savage Regina Savage
Morgan Stanley, Moderator

Ola Bostrom, Ph.D. Ola Bostrom, Ph.D.

Karl Iagnemma, Ph.D. Karl Iagnemma, Ph.D.
nuTonomy (acquired by Aptiv)

Bryan Reimer, Ph.D. Bryan Reimer, Ph.D.
New England University Transportation Center


Advanced Narratives in Immersive Entertainment

Science, Technology and Artificial Intelligence are disrupting the media and entertainment landscape. New tech has created an expanding palette for storytellers and audiences to explore. Join Arvel on a journey through cinema’s past, present and immersive future with Advanced Narratives.

Arvel Chappell III Arvel Chappell III
Warner Bros. Entertainment


Coffee Break

Visit the interactive exhibit area and our bookstore!


Trust in AI: The Investor Perspective

Riding the AI wave, nearly every startup seeking investment is a machine learning company building the next new thing in AI.  What do investors really look at when evaluating AI pitches? How do they separate truth from hype? And, in this vast AI landscape, what do investors see as the next opportunity?

Krishna K. Gupta Krishna K. Gupta
Romulus Capital

Habib Haddad Habib Haddad
MIT Media Lab E14 Fund

Samsung NEXT


The Existentialist Impact of AI: a fireside chat

Eric Schurenberg Eric Schurenberg
Mansueto Ventures (Inc. and Fast Company)



Session Theme

Trust in AI: At Work!

AI is transforming the enterprise and helping reimagine the future of work. From how we acquire and develop talent, to how teams collaborate and how brands engage with their clients. How can automation foster workplace intelligence, making us more productive, smarter, more creative and collaborative? How can corporations build brand trust?

But, would you trust AI to hire on your behalf?  Would you trust AI enough to delegate your work to it?  Is AI up to the task of strengthening brand trust?


Increase Diversity and Inclusion with AI-based Talent Acquisition

Video recruitment solutions are disrupting talent acquisition, a field suffering from outdated processes rooted in paper, phone screens and manual assessments prone to human bias. Loren will explore how Global 500 companies are increasing new hire diversity while reducing cost and time to hire.

Loren Larsen Loren Larsen


Augmenting Workplace Intelligence

Richard Hartell Richard Hartell
Publicis Media, Moderator

Rob May Rob May

Ben Waber, Ph.D. Ben Waber, Ph.D.


Harness the Power of Diversity to Build Trust in Brands

Graham Page Graham Page
Kantar Millward Brown


Lightning Talk

Speaker to be announced soon


Coffee Break

Visit interactive exhibit area and our bookstore!

Session Theme

Trust in AI: At Home and for Health!

AI is engrained in the devices we use every day, making our interactions more persuasive and effective.  

Intelligent Virtual Assistants (IVAs) will become the ubiquitous interface through which we engage with technology. Conversational and perceptual, IVAs are designed to make our lives easier, more productive and sometimes even happier and healthier. In what ways can IVAs augment our daily activities at home and enhance our overall well-being? And do we trust that their recommendations take our best interest to heart?  

AI is also rewiring concepts of healthcare delivery, augmenting the critical work traditionally done by human medical experts. When the accurate diagnosis and effective treatment of medical problems and mental health issues is fueled by AI, how can we establish trust and empathy between clinicians and patients?  How can the new field of emotive medicine help realize trust?


Emotive Medicine

Peter Weinstock, Ph.D., M.D. Peter Weinstock, Ph.D., M.D.
Boston Children's Hospital Simulator Program


Lightening Talk

Jason Kahn, Ph.D. Jason Kahn, Ph.D.


The next generation HMI: Interactive Virtual Assistants

Khari Johnson Khari Johnson
VentureBeat, Moderator

Elena Corchero Elena Corchero

Nana Murugesan Nana Murugesan
Samsung Electronics America

Lucas Souchet Lucas Souchet
Softbank Robotics


Lightening Talk

Heather Ames Versace Heather Ames Versace


Ethics in AI: Addressing Diversity, Inclusion and Bias

Brian O Brian O'Keefe
Fortune Magazine, Moderator

Joy Buolamwini Joy Buolamwini
Algorithmic Justice League

 Rumman Chowdhury, Ph.D. Rumman Chowdhury, Ph.D.

Mark Latonero, Ph.D. Mark Latonero, Ph.D.
Data & Society Research Institute


Closing Comments

Rana el Kaliouby, Ph.D. Rana el Kaliouby, Ph.D.


Happy Hour Networking Reception


Building Emotional Models with Multimodal Biometrics

This workshop by iMotions will deliver an introduction to the benefits of a multimodal approach, in using Affectiva in conjunction with Eye Tracking (visual attention), electrodermal activity (physiological arousal), EEG (cognitive workload and motivation), and others. It will also cover the use of multimodal biometrics in use cases such as automotive (Mazda & GM), webUX, VR and media testing. Dr. Wilson will also facilitate a discussion on data as the fuel of AI, with Affectiva's recent efforts to eliminate bias in emotional models—and how biometrics contribute to that effort by acting as data sources outside conscious intervention.

Jessica M. Wilson, Ph.D. Jessica M. Wilson, Ph.D.


Challenges Around Collecting and Training Language and Multimodal Related Datasets to Support HCI

AI needs very specialized types of data at multilingual and multimodal levels when it comes to human-computer interaction to work properly. This workshop will discuss the challenges around collecting and training language and multimodal related datasets and how the world is racing towards resolving this ultimate frontier that will revolutionize the human-computer interaction.

Stephen Rauch Stephen Rauch


Affectiva Labs!


The Science Behind Emotion AI

Emotion AI a complex problem to solve - even with advancements in machine learning. When considering how difficult it is for humans to understand each other - where do you start when thinking about applying that to AI? Affectiva’s R&D leadership will review the unique challenges that must be overcome when using AI to interpret a person’s cognitive and emotional state. Topics covered will include the challenges of data collection and annotation, advancements in deep learning, computer vision and speech science, as well as mitigating bias in model training.

Taniya Mishra, Ph.D. Taniya Mishra, Ph.D.

Jay Turcot Jay Turcot


How AI Helps Next Generation Vehicles Become More Human

Dr. Nils Lenke and Adam Emfield of Nuance Communications will explore two areas of improvements in communication between humans and our vehicles. The first is how multi-modality (combining visual and auditory expressions) is a key feature of all human communication, and how these capabilities can be re-built with technology. Second, Nils and Adam will discuss how a whole dimension of this communication is still missing—that is, the emotional state of a speaker being expressed by non-verbal signals. So how will we be able to know the emotional states of drivers and passengers? And how will the systems themselves express emotions?

Adam Emfield Adam Emfield
Nuance Communications

Nils Lenke, Ph.D. Nils Lenke, Ph.D.
Nuance Communications


Cognitive Load Estimation from Video with Deep Learning

This talk will explore how deep learning approaches can be used for perceiving and estimating a person's cognitive load from video of their face. We will discuss why this is an important and useful metric for multiple applications, but especially in the context of semi-autonomous driving.

Lex Fridman, Ph.D. Lex Fridman, Ph.D.


Nonverbal Behaviors Effect How Much You Trust a Robot

When meeting someone for the first time, we can walk away with a sense of how much we trust that person even after a brief 5-minute conversation.  In these situations, nonverbal behaviors help us infer people’s intentions, goals, and values.  But what are the nonverbal behaviors that signal the trustworthiness of a novel person?  Furthermore, will people read those same behaviors to ascribe social intentions to technological entities like humanoid robots and virtual agents?  In this workshop, I will present on how the nonverbal behaviors of embodied AIs like robots can affect people’s social and emotional perceptions of the interactive agent—even complex emotions like trust.  I will also detail the research behind identifying trust-related nonverbal behaviors and its highly interdisciplinary approach that combined methodologies from robotics, machine learning, and social psychology.

Jin Joo Lee, Ph.D. Jin Joo Lee, Ph.D.
Personal Robots Group MIT Media Lab


Human-Machine Entrainment and Trust

When humans speak to each other, they adapt their voice, language, gestures and posture to become more similar to their conversational partner. This behavior, called entrainment, is one way humans strengthen bonds with each other, and has been associated in multiple studies with feelings of liking and trust.

As voice interfaces become more sophisticated and more capable of analyzing and generating conversational behavior in multiple modalities, they will need to entrain to human users, adapting to match them, in order to promote the social bonds and trust that are crucial to human-machine interaction and collaboration, whether as an in-car vocal navigation system, an assembly-line robot, or a military rescuebot.

Rivka will talk about the research being done in the Brooklyn College Speech Lab, and in collaborating institutions around the world, to understand the role entrainment plays in human-human and human-machine communication and trust.

Rivka Levitan, Ph.D. Rivka Levitan, Ph.D.
Brooklyn College


The Venue

The State Room (60 State Street, 33rd Floor, Boston MA) is an urban event space offering unmatched views of Boston harbor and the city below. Perched atop Sixty State Street skyscraper, this modern venue offers a spectacular view of Boston's skyline through a panoramic glass wall 20 ft high and 120 ft across.

Affectiva is excited to host its 2nd Emotion AI Summit at this unique venue in the heart of Boston, MA. We are confident that the environment and architecturally stunning space in this intellectually stimulating city will inspire us all, as we come together to shape the future of AI.


The Venue

The State Room (60 State Street, 33rd Floor, Boston MA) is an urban event space offering unmatched views of Boston harbor and the city below. Perched atop Sixty State Street skyscraper, this modern venue offers a spectacular view of Boston's skyline through a panoramic glass wall 20 ft high and 120 ft across.

Affectiva is excited to host its 2nd Emotion AI Summit at this unique venue in the heart of Boston, MA. We are confident that the environment and architecturally stunning space in this intellectually stimulating city will inspire us all, as we come together to shape the future of AI.




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