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Responsible AI and Social Good

The Responsible AI track brings together top data ethicists to provide a practical, ethical framework for technologists to develop machine learning systems.

Using case studies and existing frameworks, we’ll give you the tools to build out your own ethical approach to realize the best outcomes while deploying machine learning in the real world.

You will be able to responsibly design human-in-the-loop review processes, monitor bias, build trust transparency, and develop explainable machine learning systems to ensure data and model security.

What You'll Learn

Talks + Workshops + Special Events on these topics:
  • AI Ethics and Bias

  • Federated Analytics

  • Federated Learning for User Privacy

  • AI for Climate Change, Social Good

  • Reproducibility

  • Explainable AI: heatmap-based explanations

  • Explainable AI: human in the loop

  • Uncertainty in AI

  • Fairness in Machine Learning

  • Algorithmic Decision Making

  • Fairness in Predictive Modeling

  • and more…

Past Responsible AI Speakers

See all our talks and hands-on workshop and training sessions
See all sessions

You Will Meet

  • Top speakers and practitioners in Machine Learning and Deep Learning with an interest in Responsible AI

  • Data Scientists, AI experts Data Engineers, and Machine Learning Engineers

  • Decision-makers, team leads, and other influencers

  • Data Science and AI innovators looking to make an impact with responsible AI

  • CEOs, CTOs, CIOs and other c-suite executives seeking insights on responsbible AI

  • Software Developers focused on Machine Learning and Deep Learning

  • Industry leaders, business practitioners, and product developers seeking to understand trust and privacy in AI

  • Core contributors in the fields of Machine Learning and Deep Learning

  • Citizen data scientist and and Science Enthusiasts 

Why Attend

Accelerate and broaden your knowledge of key areas in Responsible AI

With numerous introductory level workshops, get hands-on experience to quickly build up your skills

Post-conference, get access to recorded talks online and learn from over 100+ high-quality recording sessions that let you review content at your own pace

Take time out of your busy schedule to accelerate your knowledge of the latest advances in data science

Learn directly from world-class instructors who are the authors and contributors to many of the tools and languages used in data science today

Meet hiring companies, ranging from hot startups to Fortune 500, looking to hire professionals with data science skills at all levels

Get speaker insights and training in AI frameworks such as TensorFlow, MXNet, PyTorch, Spark, Storm, Drill, Keras, and other AI platforms

Connect with peers and top industry professionals at our many networking events to discover your next job, service, product, or startup.

Who should attend

The Responsible AI Track is where industry’s top creative minds gather to discuss and shape the most challenging social problems. Whether you are an expert, or just starting your journey, this is the conference for you.

  • Data scientists looking to build an understanding of ethical intelligent machines

  • Data scientists seeking to investigate and define potential adverse biases and effects, mitigation strategies, fairness objectives and validation of fairness

  • Anyone interested in understanding areas such as fairness, safety, privacy and transparency in artificial intelligence and data

  • Business professionals and industry experts looking to understand data science ethics in practice

  • Software engineers and technologists who need to develop algorithms to solve fundamental algorithmic fairness problems

  • CTO, CDS, and other managerial roles that require a bigger picture view of data science

  • Technologists in the field of AI Fairness and others looking to learn mitigation strategies, algorithmic advances, fairness objectives, and validation of fairness

  • Students and academics looking for more practical applied training in data science tools and techniques


Register your interest for 2025

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As part of the global data science community we value inclusivity, diversity,  and fairness in the pursuit of knowledge and learning. We seek to deliver a conference agenda, speaker program, and attendee participation that moves the global data science community forward with these shared goals. Learn more on our code of conductspeaker submissions, or speaker committee pages.

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