AI & Mentorloop

Janina Mercado
Janina Mercado
  • Updated

We believe the right connection can change your life, and at Mentorloop we make authentic human connections easier to find, build, and grow. We’re always on the lookout for new technologies to help build great mentoring relationships, and naturally, we’ve turned our attention to AI - both generative and non-generative. 

We would never use AI to replace an authentic mentoring relationship - we’re not in the business of robot mentors! But we are excited about the potential for AI to help break the ice, set an agenda, build momentum, optimize connections and remove friction in your mentoring journey. Here we answer a few frequently asked questions about how we use AI at Mentorloop.

What kind of AI are we talking about? 

Generative AI

Generative AI uses algorithms to create (‘generate’) content like text (e.g. ChatGPT), images (e.g. DALL-E), audio, video, code etc. At Mentorloop we’re using it to create text-based content - e.g. prompts to help start a conversation between mentor and mentee, or a match overview.

Non-generative AI

Non-generative AI analyzes existing data to make predictions, classifications or recommendations. We use it to produce specific outcomes such as match scores, predict engagement patterns to optimize mentoring relationships, or recommend the most relevant content, resources and next steps to both participants and program coordinators.

How does Mentorloop use AI?

Mentorloop uses AI to help both participants and program coordinators along in their mentoring journey. For mentors and mentees, it may appear as an option to generate an ice-breaker you can try together, help create an agenda for an upcoming mentoring meeting, or recommend the most relevant resources or next steps. For program coordinators, it may assist with program management and communication such as optimizing matching, analysing participant engagement and feedback, and recommending actionable next steps.

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Do I have to use AI in Mentorloop?

Our generative AI features are entirely optional. In the platform, you'll see a button with this icon ✨ which offers AI-powered suggestions in context, like generating ice-breakers, meeting agendas or a match overview. You can choose to click it and see what the AI proposes, or you can ignore it entirely. 

Non-generative AI features that optimize the mentoring experience for both participants and program coordinators, such as matching analysis, work in the background to help you enjoy the most engaging and impactful mentoring journey. Non-generative AI features are available to all programs, but can be disabled by the program coordinator.

What if I don't want to use the AI features? 

As a participant or program coordinator, you can choose whether to utilize our generative AI features. Our non-generative AI features are embedded into all mentoring programs to ensure the best mentoring experience for everyone. However program coordinators can opt-out of all AI features in their program, both generative and non-generative, on behalf of themselves and their participants.

Where does my data go if I use the AI features?

We do not include your personally-identifiable information (e.g. full name, email address) in the prompts that Mentorloop uses with AI. The data that we do use in the prompts is not stored elsewhere, nor is it used to train the AI model.

To optimize and support your mentoring experience, we may analyze your profile data, such as your goals, interests, availability, and mentoring preferences, to help find you the best match or surface relevant resources. For generative AI features such as meeting agendas, we may share data such as previous meeting notes and goals set, in order to build you a suggested agenda for your next meeting.

Do all programs on Mentorloop have these AI features?

No. Not all Mentorloop programs currently have access to our AI features, so they won’t appear for everyone. This is because program coordinators can elect to disable all AI features in their mentoring program, on behalf of themselves and their participants.

If you’d like more information about how Mentorloop collects, processes, and stores your data, please check out our Privacy Policy.

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