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Over the past decades computers have broadly automated tasks that programmers could describe with clear rules and algorithms. Modern machine learning techniques now allow us to do the same for tasks where describing the precise rulesis much harder.

Jeff Bezos, CEO, Amazon

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  • Present the privacy, security, and ethics choices businesses face when using machine learning on consumer data



  • Examine the decisions teams must make when building a machine learning system


  • Provide detailed insights for implementation teams and high-level questions for executive leadership

In this framework, we’ll:

Responsible AI: 

a roadmap

Artificial intelligence represents an unprecedented opportunity. To realize this potential, it’s critical that stakeholders and implementation teams understand the privacy, security, and ethical issues associated with using AI.

Take the first step to applying an ethical framework to existing or anticipated AI systems by downloading our guide here. helps consumer enterprises develop more meaningful relationships with customers using artificial intelligence. 

Our cloud-based machine learning platform integrates directly into systems of engagement to focus marketing and customer service resources where they will have the greatest impact. Our trusted signals exchange enables enterprises to share insights and learnings about consumer behaviour without leaking competitive IP or compromising user privacy. We enable partnerships, collaboration, and a platform for businesses to innovate ethically as we shape our collective future.