forming responsible ai practices
To address generative AI’s most important risks, PwC’s Responsible AI framework covers strategy, controls, responsible practices and core practices. It can be specially tailored to address GenAI’s greatest potential risks, including biased, offensive or misleading content; new challenges to interpretability; new cyber and privacy threats; and “hallucinations” that threaten performance.
As AI becomes intrinsic to operations and market offerings, companies will need systematic, transparent approaches to confirming sustained value from their AI investments. They’ll also need to manage the risks of large-scale deployment. Rigorous assessment and validation of AI risk management practices and controls will become nonnegotiable.
AI can help companies meet their sustainability goals — if they take the right approach. AI leaders at PwC believe there is reason to be optimistic about AI’s potential impact in creating a sustainable future.
“We’ve been trying the same things, and we haven’t been doing a great job around the environment,” said U.S. and Global Chief AI Engineering Officer Scott Likens in a podcast interview by Atlantic Rethink. “The difference now is AI is accessible by all humans, because it’s such a simple interface. We’ve broken through that barrier of just having it in the research lab, and the scientists programming know how to use it, but no one else does. Now everyone is actually seeing some of the benefits.”
guiding client's ai strategy
investing in generative ai
At PwC, we know firsthand how to deploy generative AI at scale and manage the new risks it can bring. With the help of a three-year, $1 billion investment, we’re rolling out GenAI throughout our firm and helping our clients do the same.
Our team members can also use pre-built toolkits with ready-to-use software code and prompts, both internally at PwC and with clients. These toolkits can help speed up the deployment and reduce the costs of GenAI for things like personalized customer experiences, content creation, research, agile software delivery, support services, report generation, deep retrieval, smart summaries and Q&A engines.
