Be unmistakably AI
People should know when they are interacting with a machine, what it can do and where its limits begin.
Responsible AI
Capability earns attention.
Trust earns adoption.
Our direction is simple: be clear about what AI is, cautious about what it does and accountable for how it affects people.
Our core commitments
Principles that become product decisions.
Responsible AI is not a page added after launch. It is a set of constraints and questions that belong in research, design, engineering and operations.
Use data with restraint
Collect only what serves a clear purpose, set retention limits and protect sensitive information.
Keep people accountable
Named human teams must remain responsible for policies, quality, escalation and deployment choices.
Design for differences
Test across language, age, ability, gender, geography and digital access—not only ideal users.
Make uncertainty honest
Ask, qualify or defer instead of inventing confidence where reliable information is missing.
Provide a human path
Sensitive, urgent and high-stakes needs require clear pathways to qualified people and services.
Safety by lifecycle
Responsibility continues after release.
Public-facing AI changes as language, information and use patterns change. Controls have to operate throughout the system’s life.
Define the boundary
Document intended users, acceptable uses, excluded decisions and required human roles.
Test before exposure
Evaluate response quality, bias, misuse scenarios, language variation and escalation behavior.
Release gradually
Start with narrow capability, monitored contexts and clear rollback or restriction options.
Observe and respond
Provide feedback channels, review incidents, update knowledge and improve safeguards.
Privacy and consent
Personal does not have to mean invasive.
Care and companion products can involve sensitive moments. The experience should provide value without turning a person’s life into a data stream.
01
Purpose limitationData should have a stated reason connected to a chosen feature.
02
Meaningful controlPermissions should be understandable, specific and changeable.
03
Protected defaultsHigh-sensitivity features should begin with conservative sharing settings.
A clear consent moment
“Would you like me to share this reminder with your selected family contact?”
Specific choice · Plain language · Easy to change
Speak up
Questions make systems better.
If you have a safety, privacy, accessibility or responsible-use question about SSP Broadcast AI, contact our team. Reports will inform product review as our systems approach launch.