MIT Sloan CIO Symposium 2024

Generative AI models are highly dependent on the quality and quantity of data used in their training. But, many of these models are being trained on vast, diverse, and inconsistently documented datasets that have been raising serious concerns about the legal and ethical risks involved. This is true not only for large language models trained on text, but also for models based on different kinds of inputs, including audio, images, video, and software. We're seeing an increasing number of lawsuits about the provenance of the data used in their training, and the recent strikes by the writers' and actors' guilds were partly due to making sure that their work isn't used to train AI models without their permission and remuneration. The panel will discuss the complexities of using large, diverse datasets in the training of generative AI models, the difficulties involved in understanding the provenance of the data being used, and the kinds of tools and standards needed for the responsible use of these powerful models.

CIOs must maintain IT resilience while embracing agile innovation. We will explore strategies for implementing robust, resilient IT infrastructures that support rapid change and innovation. This session offers invaluable insights for striking the optimal balance in a fast-evolving technological landscape.

More than ever, CIOs must strike a balance between swiftly adopting innovative practices and ensuring long-term, sustainable growth. This panel will examine strategies for organizations to remain agile and responsive, while also building a foundation for enduring success. We will offer insights into managing the rapid pace of change without compromising the sustainability of growth, an essential competency in today's competitive business environment.