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designing moral machine intelligence
The HMI project will work with partners in government, industry and civil society to make moral machine intelligence a reality. We’ve met with dozens of leaders and end-users from across industry, government, and civil society, to discuss the problems and opportunities of data and AI. We are keen to engage with anyone seeking to make better machine intelligence a reality, and will be selecting partners to work together with on case studies during our first year.
We have signed an official research collaboration agreement with the Gradient Institute, a non-profit foundation dedicated to developing ethical machine learning.
If you’d like us to talk with you too, get in touch.
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public lectures
We’ve held three sold-out public lectures, and a number of workshops. In the coming months, HMI will create and publicise podcasts based on interviews with the international researchers that joined us this year. Members of the HMI team are working with Fairly Media to produce podcasts based on the most pressing moral machine intelligence themes to stimulate much-needed global debate.
2020 ethics in data science conference
March 25-27 2020, Sydney
Over the last few years, the world has awoken to the incredible power that we have all vested—often without thought or care—in the people and systems that collect, aggregate, analyse, and act on our data. Governments, universities, corporations and philanthropists have recognised the urgent need to bring all of our intellectual tools to bear on charting a course through this opaque new normative territory.
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morality and machine intelligence workshop
August 22-3 2019
Speakers:
• Vincent Conitzer (Duke)
• Shamik Dasgupta (Berkeley)
• Tina Eliassi-Rad (Northeastern)
• Gabbrielle Johnson (Claremont McKenna)
• Seth Lazar (ANU)
• S Matthew Liao (NYU)
• Christian List (LSE)*
• Julia Haas (ANU)
• Heather Roff (Johns Hopkins)
• Fiona Woollard (Southampton)
* Remote presentations
This workshop is a joint venture of HMI and 3Ai, funded by RSCS and RSSS.
Morality and Machine Intelligence Schedule and Abstracts
Register at www.bit.ly/mmianu
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