Event Moment: Marketing CoPilot’s Marie Wiese Identifies 4 Pillars of Responsible AI

In this moment, excerpted from the session “Integrating Copilot in Your Business the Right Way: A Responsible AI Playbook,” Marie Wiese, CEO, Marketing CoPilot, shares an overview of her guide that defines four pillars of responsible AI.

Key Takeaways

• The starting point: Wiese’s guide for responsible AI started after she spoke with speakers at a Microsoft talk about what they thought the tenets of responsible AI should look like for business people, technologists, and users in general. The four pillars are:
  1. Intellectual property
  2. Data security
  3. Data and algorithm bias
  4. Brand ethics
• Breaking down the pillars: Data security is a very common tenet, as there are many conversations around protecting, training, and cleaning data. Intellectual property and brand ethics are two elements that Marie considers to be commonly overlooked. Data and algorithm bias include data drift and hallucinations, which can all happen with data, but at the fundamental core of some of these tools, there tends to be algorithm bias that needs to be addressed for accurate outcomes.