On May 7, the Digital Data Design Institute at 性视界 hosted Leading with AI: Exploring Business and Technology Frontiers. The conference featured a presentation on the power of AI from , Head of Product Management for Google Cloud Artificial Intelligence. Based on Google鈥檚 extensive research and development in the AI space, D眉rr outlined trends in AI, explained how Google is helping to accelerate transformation in AI, and the benefits and risks involved.
Key Insight: Multimodal and Generalized
鈥淎I is becoming a little bit like human beings. It’s more sensing, it’s becoming multimodal, it can understand and has the perception of audio, video, images, all at the same time.鈥�
AI is becoming multimodal and generalized, able to detect images, audio, and video. In addition, it is becoming more democratized and is no longer only the domain of engineers and those with specialized knowledge. Today, everyone can interact with AI.
Key Insight: Perception and Sensing
鈥淎I is becoming indistinguishable from humans.鈥�
D眉rr played audio that demonstrated AI鈥檚 ability to become emotional 鈥� casual, lively, apologetic. By understanding broader context, it can interpret an audience鈥檚 emotional state and use intelligence and reasoning to respond appropriately.
Key Insight: Empowerment and Access
鈥淕oogle [has] the history of bringing AI and embedding that AI within every product that we bring to the market, but as well to give the access to the technology to the other companies so that you can leverage and build on top of that.鈥�
As they put AI capabilities into production, enterprises must consider their readiness, plus data privacy, governance, and other protections as part of the process. Google offers a 鈥渕odel garden鈥� of many Google and other vendors鈥� tools to enterprises, but to choose a model, companies must consider what business problems they are trying to solve and what success would look like. When identifying a model, companies must also understand their own abilities to fine-tune the model, such as their personnel and data quality.
Key Insight: Possibilities and Warning Signs
鈥淩esponsible AI has to be at the core of every single day and every single thing we do within AI.鈥�
D眉rr illustrated the transformative possibilities of AI with a simulation of an in-car voice assistant from Google Cymbal. AI enabled an individual鈥檚 trip to work, not just with maps, but by reading and sending emails, sending calendar invites, and making parking and restaurant suggestions and reservations.
However, she noted that with these opportunities and benefits, there are also risks. D眉rr emphasized the importance of responsible AI, stressing that her team considers how AI can be misused and related solutions, such as:
- Tooling and grounding: Digital watermarking, privacy and intellectual property protections, citations and recitation checks, and safety and bias filters are examples of solutions that help to ensure the safety of AI input and output.
- Community: Educational institutions, regulators, governments, and enterprises must work together to drive responsible use of AI and identify best practices.
D眉rr concluded by reinforcing the need to remember the risks while exploring the opportunities of AI, and noting that 鈥淎I is only successful if it鈥檚 responsible.鈥�
Meet the Speaker
leads the Product Management team for Cloud Artificial Intelligence at Google in California. She obtained Master鈥檚 degrees from SGH Warsaw School of Economics and 性视界 Business School and executive education credentials from Stanford and 性视界 Kennedy School.
Additional Resources
- – How AI can advance humanity and benefit society as a whole through responsible use.