Emotion AI Summit 2019

Human-Centric AI

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Event Date:

October 15th

Event Location:

The State Room - Boston, MA

Presented by:


Human-Centric AI: Considering the Human Before the Artificial

AI is at an inflection point: it’s increasingly acting on our behalf and taking on roles traditionally held by people. As we come to terms with how this will change our interactions with technology and one another, we need to remember the motivation behind AI: people, and the potential to improve the way we work, live and interact with one another.

To fully deliver on its promise, AI needs a human-centric approach -- in how it’s designed, developed and deployed.

At Affectiva’s 2019 Emotion AI Summit, we will explore what it takes to build human-centric AI, and how these approaches will bring the focus back to the people who will benefit from it. 


How can AI make our lives safer, healthier and more productive? How can AI make us better connected and empowered?

Human-centric AI will know a lot about us, and will often need deeply personal information to operate effectively. As a society, we will not -- and should not -- be comfortable with this in all cases. The Summit will also explore how we can deliver ethical AI that mitigates algorithmic bias while being mindful of data privacy, opt-in and consent -- and, how we do this with transparency and clarity.

After all, it’s only right that we consider the human before the artificial.

Past Attendee Companies



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What You'll Experience at the Emotion AI Summit

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Main Stage

Registration Opens

Have some breakfast and visit the interactive exhibit area and our bookstore!


Opening Comments and Keynote

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


The Impact of AI on Humanity: A Fireside Chat

Eric Schurenberg Eric Schurenberg
Mansueto Ventures (Fast Co. & Inc.)

Max Tegmark, Ph.D. Max Tegmark, Ph.D.
Massachusetts Institute of Technology

Session Theme

How AI Can Make Us Safer


State of The In-Cabin Sensing Market

A look into IHS Markit’s top-line automotive mega trends in the volatile shift to autonomy, electrification, & mobility. This talk will discuss key insights into future in-cabin monitoring use-cases, assess critical technologies, and address deployment challenges.

IHS Markit


Improving Road Safety

When it comes to road safety, the numbers paint a grim picture: every day around the world, 3,700 people die in traffic crashes, with 80-90% caused by distracted or drowsy driving. Regulators and manufacturers agree that driver state monitoring systems are critically important in preventing these incidents. So, how can AI augment what’s possible with driver safety systems that exist today? And, as we look to the future of mobility, what safety considerations will emerge when autonomous vehicles populate our roadways, and ridesharing becomes more prevalent? Join us for a discussion of how the industry can address road safety concerns of today and prepare for shifts in mobility.

The New York Times

Sam Anthony, Ph.D. Sam Anthony, Ph.D.
Perceptive Automata

Andreas Heim Andreas Heim



Improving Construction Safety with AI

Global Construction Industry is targeted to hit $10T in 2020, but it remains a high-hazard industry. In fact, fatalities and injuries have not improved in the last decade and a half. Learn how is applying AI technology to reduce safety risk in the construction space.

Dmitry Grenader Dmitry Grenader


Coffee Break

Visit the interactive exhibit area, artist and our bookstore!


AI - The Investor Perspective: A Fireside Chat

In 2018 AI startups raised a record $9.33 billion in venture capital investments, a 72% increase over the prior year. Rudina Seseri will share with us an investor perspective on AI. What should an AI company look like? What are the promises, trials and tribulations? What can we realistically expect and not expect, and where do we see the applications? And, do investors evaluate companies based on their ethics or does that not really matter?

Andy Palmer Andy Palmer

Glasswing Ventures

Session Theme

How AI Can Help Us Be More Productive


How the Human-Machine Partnership will Make us More Productive

As AI takes on roles traditionally held by humans - at home, in the workplace, on the road and in healthcare settings - we’re forging a new partnership between people and technology. With AI automating many tasks, its human counterparts will be free to work faster, and take on more creative and complex roles. But like any successful partnership, this new human-machine relationship needs to be built on a foundation of mutual trust and understanding. This panel will explore how AI will augment our productivity, and in turn, what this new world of work will look like.

MIT Technology Review

Catalia Health


Jeff Orkin, Ph.D. Jeff Orkin, Ph.D.


MIT StartUp Exchange

Startups play an increasingly important role in corporate innovation, in helping industry solve difficult challenges. The ability to effectively and efficiently partner therefore becomes increasingly critical. MIT Startup Exchange connects startups and corporations for the purpose of exploring mutually beneficial partnerships. Marcus will cover some of the lessons learned from the hundreds of startup-corporate meetings his organization helps facilitate every year.

Marcus Dahllöf Marcus Dahllöf
MIT Startup Exchange




Afternoon Kickoff

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


AI Artist Performance

Taryn Southern Taryn Southern
AI Artist

Session Theme

How AI Can Help Us Be Healthier


Improve Emotional Well Being Where You Live, Work and Play with Emotion AI

In our fast-paced daily lives, whether we’re at work, on the go, or at home, we’re subject to stressors that negatively impact our wellbeing. Recently the World Health Organization declared that burnout is now an official medical diagnosis. One of the emerging applications of human-centric AI is to improve mental health and wellbeing by boosting resilience and recovery.  Our panel of experts will discuss how and where AI can build healthier environments, from the modern work place to next generation vehicles.

Ned Sahin, Ph.D. Ned Sahin, Ph.D.
Brain Power



Alicia Roth Alicia Roth
Innovation Hub, Mercy Health


How Patient-Focused Systems Can Improve Healthcare Outcomes

Many health systems are focused on “sick care” rather than prevention and wellness: they are costly and slow to adapt to changing needs and demographics. As medical systems transition from responding to illness to systems that provide preventive care to maintaining wellness, the demand for patient‐centered human‐computer interfaces that improve patient understanding and health outcomes will increase. Dr. Goodwin will review recent advances in Personal Health Informatics (PHI), a new transdisciplinary effort focused on the theoretical underpinnings of consumer- and patient-focused health systems.

Matthew Goodwin, Ph.D. Matthew Goodwin, Ph.D.
Northeastern University

Session Theme

How Can AI Enable Better Experiences


Exploring the Future of Automobility and the Power of Augmented Intelligence

Augmented intelligence will shape how we move people, things, spaces, and together in the coming age of automobility. Take a closer look at some of the possibilities envisioned by IDEO as the era of automobility approaches.

Danny Stillion Danny Stillion


Reimagining the Transportation Experience: The Future of Mobility

Transportation is undergoing a fundamental shift. Advances in ridesharing, multi-modality mobility and autonomous vehicles are rewriting the norms surrounding mobility; and with it, reimagining the human experience. From robotaxis, to all-electric vertical take-off and landing vehicles (eVTOL), what will the future of mobility look like?  This panel will discus how AI will fuel the human experience, ensuring we are safe, comfortable and our needs in the moment are met.

Regina Savage Regina Savage
Morgan Stanley

Rashmi Rao Rashmi Rao

Hyundai CRADLE

David Woessner David Woessner
Local Motors


Coffee Break

Visit the interactive exhibit area, artist and our bookstore!

Session Theme

AI and Ethics


Creating Brands with Purpose

Consumers may value purpose, but they’re also rightly suspicious of it. Achieving success is not as straightforward as simply advertising your aspirations. To truly benefit from the emotional power of a purposeful positioning, brands need to think carefully about authenticity and fit with their brand values. Based on analysis of Kantar’s unrivalled database of 200,000 ads, and Affectiva’s world leading understanding of emotion through AI facial coding, Graham Page, will share evidence of what we know works well, and how to navigate your brand towards successful purpose driven advertising.

Graham Page Graham Page


Academia and Ethical AI

What is academia's responsibility in advancing ethics in AI?

Peter Robinson, Ph.D. Peter Robinson, Ph.D.
University of Cambridge


How Do We Realize Ethical AI? The Ethical Development + Deployment of AI

While AI has the potential to significantly improve our lives, there are ethical and privacy concerns that cannot be ignored. This is especially true for AI that’s designed to closely interact with humans, as these systems require a lot of data and will “know” a lot about the people they engage with. It’s crucial that AI is developed and deployed in a way that is ethical, protects privacy, and does not replicate societal biases. During this panel, we’ll have an open dialogue on actionable steps that organizations and individuals must take to ensure that AI is transparent, ethical and equitable, and does not aggravate inequality.

Will Knight Will Knight

Terah Lyons Terah Lyons
The Partnership on AI

Heather Patterson, Ph.D., J.D. Heather Patterson, Ph.D., J.D.
Intel Labs

Kathy Pham Kathy Pham
Harvard Kennedy School

Session Theme

AI and The Future


Future Perceptions of Human-Centric AI

Many of us have witnessed the rise of AI in recent decades; but how does the budding generation feel about it, having grown up with AI at home, in their classrooms, and as part of their everyday lives? In this unique panel, we’ll interview the kids who have matured as the technology has, to not only understand their perceptions of AI, but how they visualize their future with it—plus their insights on what they’d like to see as future consumers

Panelists include: 

  • Adam, age 10
  • Tessel, age 13
  • Kavya, age 17

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


Closing Comments

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


Networking Reception


More Data, Better Data: Defining Human Behavior with Biometrics

To address something as complex and nuanced as human behavior, do we need more data or better algorithms? Join Dr. Jessica Wilson, Senior Product Specialist at iMotions as she explores how 'more data' should be changed to 'better data', and how commercially available tools in neuroscience can help you define human behavior for yourself.

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


Affectiva Labs!

As part of Affectiva’s Emotion Machine Pathway Program (or the EMPath Program), launched in the summer of 2018, twelve student interns worked on a variety of exciting and innovative technical projects. The projects related to affective computing, machine learning, deep learning, large-scale web mining, and applications of computer vision and speech processing towards automatic emotion estimation. In this session, we will showcase four of these projects: non-invasive non-contact heart-rate detection; multimodal emotion detection; in-vehicle object detection; and multiple instance learning for mitigating the annotation bottleneck. For each of these projects, the student presenters will discuss the problem, their approach for addressing the problem, and possible real-world applications.

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

 Kavya Anbarasu Kavya Anbarasu
High School Student at Sharon High School

Prashant Mahajan Prashant Mahajan
Master's Student at NYU


Coffee Break

Visit the interactive exhibit area, artist, and our bookstore!


How Do You Feel On The Road? Automatic Analysis Of Driver Emotions And Expressions In Daily Driving Scenarios

Drivers emotions and cognitive states are critical components for road safety and enhanced driver and passenger experience. If the car could automatically identify when drivers are frustrated, distracted, bored or happy and excited, the vehicle system can appropriately adapt. Adapting interfaces to alleviate distraction, deploying systems to ease frustration or amplifying positive emotions are all on the horizon to help improve road safety, bring the joy back to driving and improve the overall mobility experience.

In this workshop, Affectiva and MIT Advanced Vehicle Technology (AVT) consortium share the preliminary results of their collaboration to study in-car experiences through the lens of affective display; specifically, automatic identification of emotions and expressions in drivers who were part of the AVT naturalistic driving study. A brief history of the study, current analytical efforts and results will be discussed, including a first-ever longitudinal analysis of in-car affective experiences!

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

Bryan Reimer, Ph.D. Bryan Reimer, Ph.D.


3 Key Technical Considerations for Automotive In-Cabin Sensing

Deploying AI-based interior sensing in next generation vehicles brings many interesting technological challenges. How do you run deep learning models on embedded systems in real-time with high accuracy? How do you acquire and annotate large amounts of real-world data to train and validate deep learning models? And, now that we are using interior cameras to capture data of vehicle occupants, what are the considerations for camera types and placement? Hear Affectiva’s product management team explain in more detail how Affectiva is innovating in these areas.






Mitsubishi and the Future of In Cabin Sensing

Over the past decade, technology has exploded, integrating itself into every aspect of daily life, from smartphones to home. In response, consumers have become savvier and have higher expectations for how technology integrates into their lives and meets their needs. The auto industry, due to regulations and its particular nature, is behind, despite a new push to catch up with what is happening in other industries. 
As an integral part of this move to update the way the auto industry uses technology and, particularly AI, Voratima will take you on a journey that compares different user experiences with infotainment and other forms of user interfaces. She will introduce new in-vehicle technology that is in the planning and development stages, and she will explore the ways in which Emotion AI could help revolutionize the auto industry.

Mitsubishi Electric


Toward a Truly End-To-End Machine Learning Pipeline

Most "end-to-end" machine learning pipelines only cover workflows where data are passively collected. For Affectiva, active data collection, experiment design, and data labeling are also integral parts of our workflow and must be accounted for in any end-to-end pipeline, leading us to construct our own infrastructure. This workshop will cover the challenges that led us to reimagine our research infrastructure, our design decisions, and current progress.

Kyle Stratis Kyle Stratis


Coffee Break

Visit the interactive exhibit area, artists and our bookstore!


Learning Intelligent Vehicle (LIV): LIV as a Co-Driver

The advent of driver and passenger monitoring technology allows for exciting possibilities in the realm of driver and vehicle interactions. Join us as we explore Veoneer’s Learning Intelligent Vehicle (LIV), and LIV’s mission to enhance the driving experience and promote driver safety. Through videos and interactive discussions we’ll see how LIV functions as the ultimate “co-driver” by learning driver behavior, understanding driver intent, and adjusting the vehicle systems and interaction accordingly.


Caroline Chung Caroline Chung


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 cognitive load is an important and useful metric, and then we will branch into a 15 minute innovation workshop and ideation session. The workshop will be an opportunity to network with like minded colleagues and explore how affective computing can empower your automotive and manufacturing use cases with automotive and manufacturing applications.

Sean Batir Sean Batir
BMW Group


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 3rd 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 3rd 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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