負責任的人工智慧和人工智慧的多個層面

The number of platforms and services that provide research information and analytics, and the developing capabilities of these tools, continues to grow as computer power increases, technologies get more sophisticated, and the volume of information and data expands.

Supporting the research community in this new digital era requires an open and proactive conversation about data. That’s why, together with the Einstein Center Digital Future (ECDF) 打開新的分頁／視窗, we have set up the 'Conversations on Science in the Digital Future' initiative. We hope these discussions will lead to greater understanding and collaboration between the research community, policymakers, academic publishers and broader society.

The first panel discussion — Data Privacy in the Digital Era — was held in November 2022. Watch the full recording 打開新的分頁／視窗.

Highlight #1: Is there such a thing as unbiased data?

Watch the response by Dr Felix Biessmann 打開新的分頁／視窗

Highlight #2: What can companies do to ensure AI is used responsibly?

Watch the response by Dr. Harry Muncey 打開新的分頁／視窗

Highlight #3: The rights of workers in developing datasets and AI

Watch the response by Tabea Rößne 打開新的分頁／視窗

What’s next?

Over the next several months, the series will take deep dives into current and impactful topics, including usage data in science, data privacy, vulnerable population and assessment data, and artificial intelligence and ethics in scholarly publishing. The hybrid events will take place at the ECDF in Berlin and online. To register your interest in joining the conversations, please email your full name, job title and organization to [email protected] 打開新的分頁／視窗.

Discover Elsevier's Five Responsible AI Principles.