Ethics
67 papers with code • 2 benchmarks • 2 datasets
Libraries
Use these libraries to find Ethics models and implementationsMost implemented papers
Defining a Sandbox for Responsible AI
While this is not the first time that we have faced this future, it is important to take cognizance of the broader issues around the ethics and governance that are prevalent today in what are early days in an industry with a smaller number of large technology players.
On Measuring Gender Bias in Translation of Gender-neutral Pronouns
However, detection and evaluation of gender bias in the machine translation systems are not yet thoroughly investigated, for the task being cross-lingual and challenging to define.
Towards Empathic Deep Q-Learning
As reinforcement learning (RL) scales to solve increasingly complex tasks, interest continues to grow in the fields of AI safety and machine ethics.
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
In recent years, disinformation including fake news, has became a global phenomenon due to its explosive growth, particularly on social media.
Teaching Software Engineering for AI-Enabled Systems
Software engineers have significant expertise to offer when building intelligent systems, drawing on decades of experience and methods for building systems that are scalable, responsive and robust, even when built on unreliable components.
Deontological Ethics By Monotonicity Shape Constraints
We demonstrate how easy it is for modern machine-learned systems to violate common deontological ethical principles and social norms such as "favor the less fortunate," and "do not penalize good attributes."
A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services
Rough sleeping is a chronic problem faced by some of the most disadvantaged people in modern society.
Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
As AI systems become an increasing part of people's everyday lives, it becomes ever more important that they understand people's ethical norms.
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs
We apply a PGGAN to the task of unsupervised x-ray synthesis and have radiologists evaluate the clinical realism of the resultant samples.
Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale
However, even if different claims share the same stance on the same topic, their assessment depends on the prior perception and weighting of the different aspects of the topic being discussed.