As trust and safety (T&S) develops into a field that can engage more intentionally and constructively not only
with its own practitioner base, but also with a wider community of experts, it will be important to remain thoughtful,
purposeful, and efficient whenever possible. Looking to other industries and their evolution can save years of trial
and error, and focus collective efforts and investments on the moves most likely to have the greatest impact.
Preparing the field to evolve in an expedited fashion will also be crucial for proactively taking on emerging
technologies and identifying the risks and opportunities they pose to broader goals of safety, dignity, and
trust across online spaces.
Cybersecurity has much to offer the younger T&S field, in large part due to the maturity gap between the two
communities. Like any rapidly maturing field, cybersecurity has both successes to emulate and failures to avoid
repeating. Across dimensions like education, professionalization, risk management, and vendor capacity, cybersecurity
has developed pathways that could accelerate the development of the T&S field, if emulated. By the same token, some c
onsistent failings within cybersecurity can serve as a cautionary tale and incentivize different approaches as T&S matures.
Meanwhile, policy, practice, business models, and threat models for generative AI have been changing by the day
since November 2022. While it is not clear how this technology or its use will evolve, it is clear that its
impact will be transformational. As a range of generative AI tools are being unleashed for widespread public
and commercial use, it is both possible and important to forecast ways in which this technology could be
leveraged—positively and negatively—within T&S.