Who are you and how did you become interested in this technology?
I am Jenifer, the CEO & Founder of Develop Diverse. I am a research scientist and worked in tech for more than 10 years in academia and industry. The lack of women & minorities in tech and top management, and the inequalities I and others experienced in the workplace made me quit my job and use my skills in tech to build a software tool to accelerate the process of recruiting diverse people.
What are you doing at work?
I am in charge of fundraising, I am the business developer, I am the face of Develop Diverse (speaker, pitcher, interviews), and ensure every team member feels part of the team by empowering each single one and promoting inclusive culture.
What are the most important concepts in your technology (your sub-branch)?
Natural language processing and machine learning
Why is it exciting?
Because it is possible to recreate human behaviour with technology, specially, language. Language is very complex and unpredictable and NLP and ML is allowing us to pick up on patterns and follow the changes in language across time.
What do you think are the most interesting controversies?
The most interesting controversies we faced are while pitching.. it seems that pitching gender inequalities is political.
Your own favourite projects?
Developing our tool for every single employee to enable companies to build an inclusive culture through inclusive internal communication - emails & chats.
Your other favourite examples, internationally and nationally?
Carboculture - they are Norwegian and now based in SF. Carbo Culture’s unique intervention addresses two global problems: CO2 concentration in the atmosphere, and soil depletion. By making high purity biochar from biomass waste (with a novel thermochemical conversion process), which stabilises nutrients and holds water.
How do you usually explain what you do, in simplest terms?
We built a spell checker for biased language that anybody can use when writing texts to ensure not using unconscious discriminatory wording.
Because is an impact-driven accelerator
Recommended reading / viewing?
"What works: Gender equality by design" by Iris Bohnet
A favourite quote?
Benjamin Franklin: “If everyone’s thinking alike then NO ONE is thinking”
Samle deg med en venn eller en kollega for å se om du klarer å svare på spørsmålet nedenfor.
Spørsmål:“If everyone is thinking alike, then no one is thinking”. Would artificial intelligence agree with this quote?
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