Name: 2050: The "Good" AI symposium
Start: 2024-10-22T09:00:00+02:00
End: 2024-10-23T18:00:00+02:00
Location: CIC Berlin

**[Apply to join](https://lu.ma/dngoodaisymposium24) our two-day in-person event in Berlin on October 22-23, 2024.**

The AI race is on. The pace of development has already transformed the daily lives of many. While the potential and benefits of AI are vast, addressing concerns about its misuse is essential. Regulators worldwide, led by Europe with the 2024 EU AI Act, aim to ensure AI serves humanity positively. This is a pivotal moment for technologists and entrepreneurs. Though there are concerns about balancing innovation and safety, we can shape a future where ethical and trustworthy AI thrives, protecting the public interest.

We are called to action: to build and create tools that are accessible, open, transparent, interoperable, and inclusive. How can we ensure that innovation happens responsibly? How should data rights be defined? Do you care if a human creates the music you listen to? Or your companion is a robot? What are the advantages & disadvantages of open-source systems? What about when the AI hallucinates? To accomplish this, we must bring together the communities building AI and those impacted by AI to counteract AI's many dystopian possibilities and construct a new narrative of what the future world of AI can be.

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**Data Natives**, in partnership with **Ethics in Entrepreneurship**, invites engineers, creatives, policy experts, academics, civil society advocates, entrepreneurs, and artists to a two-day symposium to discuss the state and strategies related to AI technologies' ethical, regulatory and societal impacts.
Our interactive symposium provides space for diverse perspectives to share and contribute their unique voices to the responsible AI conversation. Participants will collaborate to produce a white paper surveying the current state of Responsible AI and providing guidance on implementing these principles into practice. The event aims to nurture a cross-disciplinary professional community focused on responsible innovation and empower change-makers with the resources they need to create the “Good” AI.

Elena Poughia

Data Natives, Frankfurt

Technology

Open Source

Business Intelligence

Cloud Computing

Hadoop

Big Data

MapReduce

Machine Learning

Data Analytics

Predictive Analytics

Data Mining

NoSQL

Data Science

Data Security

DevOps

Frank Herling

bernd

Stefan Schimanski

Kerem

Fritz Ehlers

Todor

Arthur Rehm

2050: The "Good" AI symposium

CIC Berlin 

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Data Natives, Frankfurt

2050: The "Good" AI symposium

Data Natives, Frankfurt

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