The recent Ai4 conference featured a panel discussion titled “Generative AI in Business and Society.” Some key takeaways are that generative AI offers many opportunities for operational efficiency and product personalization, that companies need to balance privacy concerns with personalization, and they need to understand how generative AI is used across their organization.
The panel was moderated by Aaron Rosenberg, partner at Radical Ventures. Panelists included Alon Yamin, CEO and co-founder of Copyleaks; Chrissie Kemp, chief data and digital product officer at Jaguar Land Rover; Mark Stutzman, CTO at AREA15; and Eiman Ebrahimi, CEO at Protopia AI. The panelists discussed questions about generative AI posed by Rosenberga.
Rosenberg began by asking Stutzman about the use of generative AI at his company, which provides immersive entertainment to its guests. Stutzman said that AREA 15 uses ChatGPT for “a lot of boring stuff,” such as their customer service chatbot, where it resolves “close to 85 to 90%” of guest questions. They also used a generative image AI to create images for theming a new restaurant at their venue, which he described as “like walking into a video game.” He also hinted at future plans for personalized interactive experiences generated dynamically by AI.
Next Rosenberg asked Kemp what adoption of generative AI looked like for a large enterprise such as Jaguar Land Rover. Kemp replied that they were being “cautious,” especially with respect to security and privacy. However, she said that adopting generative AI would allow them to deliver more personalized in-vehicle services, calling out the company’s partnership with NVIDIA. She also said that in the enterprise itself there would be “huge opportunities to drive productivity and efficiency.”
Rosenberg then asked Ebrahimi how his company, Protopia AI, and others like it are enabling enterprises to adopt generative AI. Ebrahimi noted that one of the biggest challenges is how to properly handle sensitive data. He called back to AREA 15 and Jaguar Land Rover both wanting to provide personalized experiences, but needing to balance collecting the personal data needed for that with privacy concerns. He referred to his company’s product, which transforms data into a form that’s not human-understandable, so that it can be used by machine learning algorithms while preserving privacy.
Rosenberg next asked Yamin what generative AI concerns he was seeing and how to address them. Yamin replied that he saw “amazing excitement” about opportunities in enterprises, along with worry about how to mitigate risks. He pointed out that many enterprises do not have a full picture of where generative AI is already being used within their organization. He recommended that companies define policies around the use of generative AI and build tools to enforce the policies. He also recommended they check the accuracy of the output of models even closer than they would human-created content.
Rosenberg then asked each panel member for “one piece of practical advice” on how organizations could experiment with generative AI. Stutzman said, “play with it, [but] be careful.” Yamin reiterated the need to know how generative AI was used across the organization, along with a need for clear policies. Kemp advised “invest your data,” as models are only as good as the data used to train them. Ebrahimi cautioned against hoping that “the legal system is going to come save us,” and instead recommended looking for technological solutions to privacy and compliance problems.
Finally, Rosenberg asked the panelists what they were most excited about when thinking about the future of generative AI. For Ebrahimi, it was personalized health care. Kemp predicted “another renaissance era in terms of creativity,” particularly in art. Yamin was excited about education, noting that there was already visible progress in the field. Stutzman seconded Ebrahimi’s excitement on health care, but added that he predicted a fully-automated marketing tech stack. Rosenberg concluded by sharing his own excitement about AI’s potential for advancing biology and physics.