Providing trust and safety functionality during virtual meetings

A method comprising:

• establishing a video conference between a plurality of client devices;
• receiving, from a first client device of the plurality of client devices, a stream corresponding to the video conference and comprising one or more items of content;
• configuring content moderation settings in response to a previous activity of a user associated with the first client device;
• providing the content moderation settings to a machine learning model that is trained to identify inappropriate or harmful content in the stream;
• applying, to the stream, the machine learning model;
• determining, via the machine learning model, that an item of content in the stream is inappropriate or harmful;
• editing the stream to remove the item of content;
• and
• transmitting, to the plurality of client devices, the edited stream.

A non-transitory computer-readable medium comprising processor-executable instructions configured to cause one or more processors to:

• establish a video conference between a plurality of client devices;
• receive, from a first client device of the plurality of client devices, a stream corresponding to the video conference and comprising one or more items of content;
• configure content moderation settings in response to a previous activity of a user associated with the first client device;
• provide the content moderation settings to a machine learning model that is trained to identify inappropriate or harmful content in the stream;
• apply, to the stream, the machine learning model;
• determine, via the machine learning model, that an item of content in the stream is inappropriate or harmful;
• edit the stream to remove the item of content;
• and
• transmit, to the plurality of client devices, the edited stream.