Paksy Plackis-Cheng successfully formed a public-private that brought together government agencies, NGOs, corporations, and even a public company. These types of consortiums often face significant, including misalignment of objectives, lengthy issues, and technical hurdles. However, thanks to the brilliant team [...]
What began as a simple effort to in the community has turned into something extraordinary—bringing together young people from different countries to build new physical places (to counter the digital 🌎 once in a while)! Vosse Plackis-Cheng has united German [...]
The most alarming learning? impactmania's tests showed that AI hiring tools such as Application Tracking Systems (ATS) often favor the least experienced candidates over top (educated and experienced) people. It’s clear that human biases and historical data play a big role in this — and how the machine learns over time. We would fool ourselves to say that algorithmic hiring is based solely on merit.
After Day it is DePIN Day: Advancing Decentralized Physical Infrastructure (DePIN) During the panel, Paksy Plackis-Cheng emphasized the importance of projects, such as accelerating the DePIN space across various industries and sectors. She also highlighted a critical issue: some current [...]
Impactmania's founder, Chief Strategy Officer at Staex GmbH, Paksy Plackis-Cheng, led an industry-first drone corridor for data sharing and monetization. And we won! The Deep Tech Berlin Award! We are grateful for the recognition and thank our customers, partners, and public entities who have helped us over the last years! You know who you are! This is for you.
The most alarming learning? impactmania's tests showed that AI often favors the least experienced candidates over top (educated and experienced) people. It's clear that and plays a big role in this and how the machine learns over time. Achieving equity requires more than just unbiased AI.
However, the overriding key recommendation we would have is that the AI field should diversify itself. A diverse and inclusive AI talent pool, especially from under-represented communities would anticipate and build a more equitable system. This will require investment in education, mentorship, and access to opportunities. Only then will we have an environment where sophisticated systems are created by people that represent our union.