Accenture AI Leaders Podcast AI Leaders Podcast #55: From Productivity to Creativity, The Real Value of Generative AI Pt.2
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Jan 22, 2024 Guests Teresa Tung, May Habib, and Marc Appel discuss the impact of Generative AI from a trust perspective. They explore the importance of security, accuracy, legality, and transparency in generative AI platforms. They also delve into the challenges and opportunities in the field, including the use of semantic layer and domain knowledge graph for increased accuracy and contextualization. The chapter highlights the significance of trust in AI and suggests potential future implementation of AI guardrails and certifications.
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Enterprise-Ready Generative AI
- Enterprise-ready generative AI must be secure, accurate, legal, and transparent.
- These attributes ensure data security, high-quality output, legal compliance, and open collaboration.
Responsible GenAI Implementation
- When adopting generative AI, start with low-risk, high-volume use cases.
- Engage a center of excellence to evaluate higher-risk cases and address data security and integrity.
AI Guardrails and Certifications
- Prepare for increased scrutiny of training data due to upcoming regulations like the EU AI Act.
- Focus on prompt jacking and data exfiltration risks; implement screening measures for outgoing links and harmful content.