Interpretable deep-learning models to help achieve the Sustainable Development Goals
نویسندگان
چکیده
We discuss our insights into interpretable artificial-intelligence (AI) models, and how they are essential in the context of developing ethical AI systems, as well data-driven solutions compliant with Sustainable Development Goals (SDGs). highlight potential extracting truly-interpretable models from deep-learning methods, for instance via symbolic obtained through inductive biases, to ensure a sustainable development AI.
منابع مشابه
Before Sustainable Development Goals (SDG): why Nigeria failed to achieve the Millennium Development Goals (MDGs)
World leaders adopted the UN Millennium Declaration in 2000, which committed the nations of the world to a new global partnership, aimed at reducing extreme poverty and other time-bound targets, with a stated deadline of 2015. Fifteen years later, although significant progress has been made worldwide, Nigeria is lagging behind for a variety of reasons, including bureaucracy, poor resource manag...
متن کاملLearning to Achieve Goals
Temporal diierence methods solve the temporal credit assignment problem for reinforcement learning. An important subproblem of general reinforcement learning is learning to achieve dynamic goals. Although existing temporal diierence methods, such as Q learning, can be applied to this problem, they do not take advantage of its special structure. This paper presents the DG-learning algorithm, whi...
متن کاملA NOTE TO INTERPRETABLE FUZZY MODELS AND THEIR LEARNING
In this paper we turn the attention to a well developed theory of fuzzy/lin-guis-tic models that are interpretable and, moreover, can be learned from the data.We present four different situations demonstrating both interpretability as well as learning abilities of these models.
متن کاملChoosing Learning Strategies to Achieve Learning Goals
In open world applications a number of machine-learning techniques may potentially apply to a given learning situation. The research presented here illustrates the complexity involved in automatically choosing an appropriate technique in a multistrategy learning system. It also constitutes a step toward a general computational solution to the learning-strategy selection problem. The approach is...
متن کاملFrom the Millennium Development Goals to the Sustainable Development Goals.
1. Pursuant to Economic and Social Council resolution 2006/18, the Commission for Social Development has included the agenda item entitled “Emerging issues” in its programme of work since its 2007-2008 review and policy cycle. Under this agenda item, the Commission addresses current issues affecting social development that require urgent consideration or new cross-cutting issues in the context ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Machine Intelligence
سال: 2021
ISSN: ['2522-5839']
DOI: https://doi.org/10.1038/s42256-021-00414-y