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AI For Public Good: Open-Source Is Not Enough

  • Opinion
by Nikita Lukianets on 2021-06-02 0 Comments
AI For Public Good: Open-Source Is Not Enough

Open-source has become a big part of Corporate Social Responsibility and beyond. What are the benefits of going open-source? What are the risks, and what this all has to do with AI?

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AI Artificial Intelligence automation levels autonomous vehicles AVs Biometrics Control Design Disclosure Emerging Technologies Ethics EU Europe European Commission fairness Future of Work HCI HITL IETF Impact Assessment Models neutrality nuscenes oedp OETP Open Access Open Data Open Source Privacy Protocol Public Surveillance Quantitative Ethics Regulation Safety self-driving cars Society Standards Surveillance tesla Transparency waymo
Why Now?

While human-level artificial intelligence has not been achieved yet, the implications that arise from the integration of AI into human societies are visible in the narrow fields already. By understanding how people live their values, businesses can and must instill ethical frameworks into the technologies of the future, but more importanly, be transparent about how their technologies function.

What’s Next?

We're building a decentralized approach to self-disclosure. Open Ethics is about making clear how autonomous technologies make their decisions. We bring a standardized and fast way for product owners to clearly communicate the decision space, training data, and algorithms which are core to their machine learning solutions.

How it Works?
Open Ethics badge

Self-disclosure schema and user-friendly guidelines of this process will be available to developers. Solutions completing the self-disclosure process will be provided with the badge to display their commitment to transparency.

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