– The current focus in generative AI revolves around understanding how to effectively adopt and harness this powerful technology.
– Experts are exploring additional concerns that executives and consumers should consider beyond just embracing generative AI.
1. CEOs need to think about regulation.
– Business leaders are currently focused on leveraging generative AI and maintaining a balance between speed and attention to detail.
– As regulations like the EU’s AI Act become more prevalent, leaders are increasingly concerned with ensuring compliance to avoid regulatory fines and reputational damage in their current and future AI applications.
– Jennifer Belissent, a Principal Data Strategist at Snowflake, emphasizes the importance of addressing regulatory concerns in the rapidly evolving landscape of AI adoption.
2. And data governance.
– The volume of data is increasing, attracting more parties and tools for data handling, posing a growing challenge in data governance.
– Fine-tuning Large Language Models (LLMs) with proprietary data raises concerns about the emergence of sensitive information, amplified by AI’s inherent lack of control and visibility.
– Christian Kleinerman, SVP of Product, emphasizes the heightened importance of data lineage and provenance governance in addressing these challenges.
3. Consumers will (and should) demand transparency.
– The average consumer may not currently consider the impact of AI on their lives, often being indifferent to how businesses use their data.
– With Large Language Model (LLM)-powered AI increasingly influencing decisions like loans, job interviews, and medical procedures, there’s a growing demand for transparency into how data models affect individuals.
– Jennifer Belissent underscores the shift in consumer expectations as AI plays a more significant role in decision-making processes affecting their lives.