From bias mitigation to data privacy, Pargaonkar sheds light on the ethical guardrails and guidelines that underpin their innovative strides. Excerpts from an interview:
Generative AI has shown tremendous potential in various domains, but it also raises concerns about ethical implications. How does Salesforce approach the responsible development and deployment of Generative AI solutions?
Salesforce takes a responsible and ethical approach to the development and deployment of Generative AI solutions. Our commitment lies in providing safe and accurate AI services to our customers while mitigating potential risks and ethical concerns. Like all of our innovations, we are embedding ethical guardrails and guidance across our products to help customers innovate responsibly. We see tremendous opportunities and challenges emerging in this space, and to ensure responsible development and implementation of generative AI, we're building on our Trusted AI Principles with a new set of guidelines. Our guidelines for Responsible Generative AI aim to assist users of generative AI in addressing potential challenges responsibly during development.
Ethics and bias in AI are critical considerations. What steps does Salesforce take to identify and mitigate potential biases in Generative AI models to ensure fairness and inclusivity?
Salesforce is bringing trusted generative AI to the enterprise. Our Office of Ethical and Humane Use of Technology is involved in every step of product development and deployment. We've created a set of guidelines specific to generative AI based on our Trusted AI Principles, an industry-leading framework to help companies think through how to thoughtfully work with generative AI. Salesforce has always had a multi-tenant architecture that ensures our customers have complete control over their data, and customers' data never mixes. Our generative AI products are no different.
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