Six Series 2: RETHINK GENERATIVE AI

Rethink Digital Six Series 2

Module 6: RETHINK GENERATIVE AI

This module will explore mechanisms that are helping to accelerate the Digital Transformation Flywheel through the latest breakthroughs within the series of emerging technologies investigating a series of related emerging technologies and issues for accelerated Generative Al.

Generative AI has rapidly emerged as an area of tremendous possibility and is poised to massively accelerate digital transformation. While Generative AI models attempt to build data from scratch, capturing the underlying structure of a data set without learning directly from existing data, Discriminative AI models focus more on understanding and predicting the relationship between existing data points.

Predominant algorithmic models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Generative Autoregressive Networks (GARs) each generate new data from existing data and do so with increasing degrees of accuracy. Today, these new tools enable businesses to save time and money by automating tasks, uncovering trends and patterns, predicting customer needs, and increasing process and system optimization. In addition to creating competitive advantage by helping to identify new products and services, the models can create a more personalized and engaging customer experience. With the goal of discovering innovative solutions to complex problems, Transformative AI now leverages these advances to form co-creative partnerships between humans and machines, resulting in new possibilities in areas such as healthcare, education, and business.

Generative AI carries the potential threat of increased competition from AI-generated products as well as higher security risks if AI is used for malicious purposes. Ethically, ensuring that these models are used in a responsible manner while protecting privacy and protecting bias and discrimination are crucial issues. Also important to consider is the impact Generative AI will have on jobs and society as a whole. Through informed and thoughtful policy, legislation, and regulation, the goal is that these regulatory measures can provide clear guidelines for responsible AI development and usage.

Overall, the ability of Generative AI to automate and generate data faster, reduce costs, and improve customer experience is expected to drive the development of systems to assist in delivering reasonable checks and balances.

RETHINK GENERATIVE AI topics include:
21. Generative versus Discriminative AI Modeling
22. Generative AI Tools including ChatGPT, DALL-E, MidJourney, etc.
23. Transformative AI and Human-Machine Co-Creativity
24. Regulating AI Development