There is no one-size-fits all description for what Trust & Safety teams do, and responsibilities can vary from company to company. The overall goal of Trust & Safety teams is to provide a safe and reliable experience to users on the platform, but exactly what that means will be different for each company. Let's take a look at different responsibilities T&S teams have at some of the largest digital platforms in the world:
The Trust and Safety team at Meta (formerly Facebook) ensures the safety and security of users on the platform by enforcing community standards, preventing abuse, and addressing harmful content. This team works to identify and remove content that violates the platform's policies, such as hate speech, misinformation, and illegal activities. They also work to prevent the creation of fake accounts, scams, and other forms of fraud. The Trust and Safety team uses a combination of automated tools and human review to identify and address violations, and may work closely with law enforcement or other external partners when necessary.
OpenAI has a Trust & Safety team focused on ensuring that their AI models are used responsibly and ethically. This team, known is responsible for identifying and mitigating potential risks associated with AI, such as bias, misuse, or unintended consequences. The Safety Team also works to develop guidelines and best practices for the responsible use of AI, and collaborates with external partners to promote ethical AI development and deployment. In addition, OpenAI has a policy team that focuses on issues related to the social and economic impacts of AI, and works to develop policies that promote the safe and equitable use of AI technologies.
The Trust and Safety team at Amazon is responsible for ensuring the safety and security of customers and sellers on Amazon's e-commerce platform. This team is responsible for enforcing Amazon's policies and guidelines, and for identifying and removing fraudulent or harmful listings, reviews, and other content on the platform. The Trust and Safety team also works to prevent the creation of fake accounts, scams, and other forms of fraud that could harm Amazon's customers or sellers. In addition, the team collaborates with law enforcement and other external partners to address issues related to counterfeiting, piracy, and other forms of intellectual property infringement.
The Trust and Safety team at Uber is responsible for ensuring the safety and security of riders and drivers on the Uber platform. This team works to identify and prevent fraudulent or unsafe activities, such as driver impersonation or rider fraud, and to enforce Uber's community guidelines and policies. The Trust and Safety team also works to prevent the creation of fake accounts and to investigate and take action against any instances of harassment or discrimination on the platform. Additionally, the team may work with law enforcement or other external partners to address issues related to criminal activity or safety concerns.
The Trust and Safety team at OpenSea is responsible for ensuring the safety and security of buyers and sellers on the OpenSea platform. This team works to enforce OpenSea's community guidelines and policies, and to identify and remove fraudulent or harmful listings, reviews, and other content on the platform. The Trust and Safety team also works to prevent the creation of fake accounts and to investigate and take action against any instances of scams or other forms of fraud. In addition, the team may work with external partners, such as blockchain analysis firms, to investigate instances of suspicious or illegal activity on the platform. The overall goal of the Trust and Safety team at OpenSea is to promote a safe and transparent experience for all users of the platform.
Trust and Safety teams place an important role in their company, and it's important that T&S professionals have access to the best tools to monitor for bad actors on their platform. One tool that is useful for trust & safety monitoring is LogicLoop. LogicLoop empowers trust & safety analysts to set up alerts on top of data in order to continuously monitor for bad actor behavior. This can be used to:
LogicLoop is quick and easy to set up on top of your data and can help trust and safety analysts stay on top of fraud without needing engineering resources.