With the rapid advancements and applications of AI, conversations have increased around the intentions of this technology. There are concerns that AI could be used with malicious intent rather than for the benefit of human-kind. At the Deep Learning Summit and the Deep Learning in Healthcare Summit in Boston this month (May 23 - 24), several sessions will explore the areas where artificial intelligence can benefit society and tackle global challenges such as the environment, education, healthcare and sustainability. Topics including Global AI Initiatives, the Challenges of AI, Benefits of AI for Social Good, the Future of AI for Good are covered, and we’re taking a quick look at some of the highlights:

Deep Learning Summit:

Expert: Andrei Polzounov, Senior Research Scientist at Blue River Technology
Session: Deep Learning in Precision Agriculture for Reducing Herbicide
Summary:
Blue River Technology’s product is See & Spray, an intelligent machine that utilizes deep learning to automatically detect and classify crops and weeds on-the-fly and uses precision sprayers to selectively spray weeds, saving vast quantities of chemicals in the process.

Expert: Rana el Kaliouby, Co-Founder & CEO, Affectiva
Session: The New Social Contract - Humanizing Artificial Intelligence
Summary: Rana will discuss the 5 tenets of this new social contract including how to build AI that has empathy, the ethical considerations of AI and the importance of guarding against data and algorithmic bias.

Deep Learning in Healthcare Summit:

Experts: Niels Bantilan, ML Engineer, Talkspace,  Akane Sano, Assistant Professor, Rice University, & Jordan Smoller, Director - Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital
Session: The Impacts of Machine Learning in Mental Health Care (Panel)
Summary: Approaches to mental health care are changing in the digital age but how is machine learning being used to help? Is this technology the best way forward? Hear from professionals in the field on their thoughts on how machine learning can help and the steps needed to advance its adoption.

Experts: Ron Xu, Senior Data Scientist, Aetna & Mark Homer, Head of Healthcare AI, Fidelity Investments
Session: Using Deep Learning to Understand Lack of Exercise
Summary: Aetna has programs to encourage exercise and in support, they have built a deep learning model that predicts the probability that a member is exercising and, more importantly, to provide clues as to why a person is not exercising, revealing events in a person's healthcare journey with an eye towards providing more effective care.

Deep Dive Track:

Experts: Ron Xu, Senior Data Scientist, Aetna & Mark Homer, Head of Healthcare AI, Fidelity Investments
Session: Rising stars session - 5 different talks from the next generation of AI Pioneers
Summary: Throughout these presentations, topics covered will include:

  • Diagnosing Epilepsy with AI x BCI - Albert Lai
  • Where’s Waldo: Medical Anomaly Edition (ft. GANs) - Liam Hinzman
  • Using Deep Learning to Unlock the Secrets of Gene Expression - Gracelyn Shi
  • AI for Translating American Sign Language (ASL) - Katherine Stevo & Tracy Qiu
  • Natural Language Processing to Direct Aid in a Natural Disaster - Kate Taylor

With one pass, attendees can access presentations from all three tracks. Not sure how to plan your time and make sure you catch the sessions most relevant to you? Attendees can personalise their agenda on the Attendify app, as well as connecting with speakers, sponsors and expert guests from all tracks.

Can't make it to Boston but keen to learn more about using AI for Social Good? Download our complimentary White Paper here. This paper explores areas where artificial intelligence can benefit society and tackle global challenges such as the environment, education, healthcare and sustainability. Topics including Global AI Initiatives, the Challenges of AI, Benefits of AI for Social Good, the Future of AI for Good are covered, as well as case studies from Google, Intuitive AI and GoodAI. Additional expert contributors include Shell, WeWork, XPRIZE, University of Waterloo, MIT-IBM Watson AI Lab and more.