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AML: Ethics and Fairness - The ART Principles

Applied Machine Learning - INFR11211 AML: Ethics and Fairness - The ART Principles (Guest Lecture: Nadin Kokciyan) Part 2/3

From  Siddharth N 1 likes 37 plays 0  

AML: Ethics and Fairness - Introduction

Applied Machine Learning - INFR11211 AML: Ethics and Fairness - Introduction(Guest Lecture: Nadin Kokciyan) Part 1/3

From  Siddharth N 0 likes 38 plays 0  

Creating Scientific Figures in Inkscape

This workshop covers the basics of Inkscape as well as several of its more advanced features that are useful for making scientific figures. Topics covered: - Shape and text manipulation and…

From  Isabelle Hanlon 0 likes 4 plays 0  

Predicting the usage of healthcare services using neural networks and nationwide healthcare register data

Speaker: Pekka Marttinen, Aalto University. Abstract: Accurately predicting the need for healthcare services is important, to allocate the limited resources fairly and efficiently. In this…

From  Isabelle Hanlon 0 likes 6 plays 0  

Learning mixtures and DNA copy-numbers from bulk sequencing of tumor samples

Speaker: Brian Arnold, Senior Data Scientist, Princeton University. Abstract: As tumors expand, they evolve via the accumulation of copy-number aberrations (CNAs; amplifications or deletions…

From  Isabelle Hanlon 0 likes 2 plays 0  

Technomoral Conversation Series_Building Responsible AI Cultures and Alliances Captions

Building Responsible AI Cultures and AlliancesThe European Union and the Scottish government have each expressed commitments to fostering responsible and ethical AI development. What opportunities…

From  Iwona Soppa 0 likes 36 plays 0  

A model for academic-industry partnerships to deliver clinical AI solutions that are fit for purpose

Speaker:Carlo Tacchetti, Vita-Salute San Raffaele University Abstract: A correct assessment of patients’ diagnostic, prognostic, and therapy response to standard of care treatments, must…

From  Isabelle Hanlon 0 likes 1 plays 0  

Nina and Lilian Discuss Large Language Models and the regulation of AI

Controversies in the Data Society 2022

From  James Stewart 0 likes 2 plays 0  

Prof Lilian Edwards on the proposed EU AI Act

Controversies in the Data Society 2022

From  James Stewart 0 likes 18 plays 0  

Nina Markl on the Risks Harms of Large Language Models

Controversies in the Data Society 2022

From  James Stewart 0 likes 10 plays 0  

Benedetta Catanzariti: Coding the Face: Making Sense of Affective Data

Controversies in the Data Society

From  James Stewart 0 likes 15 plays 0  

Beverley Hood - It’s all about the feelings. Emotional AI session

Controversies in the Data Society 2022 Beverley Hood, Reader in Technological Embodiment & Creative Practice and Director of Research in Design, ECA

From  James Stewart 0 likes 22 plays 0  

Kaela Scott Director of Innovation and Practice at Involve - Scottish National Digital Ethics People's Panel

Controversies in the Data Society 2022

From  James Stewart 0 likes 2 plays 0  

Dr Bronwyn Jones, Journalist, and Researcher, ECA - Data-driven and algorithmic technologies for journalism and public service media (PSM)

Controversies in the Data Society 2022

From  James Stewart 0 likes 11 plays 0  

25 Feb 2022 Mark Keane, (University College Dublin) Explaining artificial intelligence: contrastive explanations for AI black boxes and what people think of them.

25 Feb 2022Mark Keane, University College DublinExplaining artificial intelligence: contrastive explanations for AI black boxes and what people think of them.Abstract: In recent years, there has been…

From  OLLIE Quinn 0 likes 16 plays 0  

Morgan Currie - Surveillance, discretion and governance in automated welfare

Controversies in the Data Society 2022

From  James Stewart 0 likes 16 plays 0