Towards a New Participatory Approach for Designing Artificial
Intelligence and Data-Driven Technologies
- URL: http://arxiv.org/abs/2104.04072v1
- Date: Tue, 30 Mar 2021 23:36:25 GMT
- Title: Towards a New Participatory Approach for Designing Artificial
Intelligence and Data-Driven Technologies
- Authors: Soaad Hossain, Syed Ishtiaque Ahmed
- Abstract summary: Participatory design (PD) is often used with marginalized communities for the design of social development, policy, IT and other matters and solutions.
This paper argues for the use of PD for the design of AI technologies, and introduces and proposes a new PD, which we call agile participatory design.
- Score: 23.36435820457202
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: With there being many technical and ethical issues with artificial
intelligence (AI) that involve marginalized communities, there is a growing
interest for design methods used with marginalized people that may be
transferable to the design of AI technologies. Participatory design (PD) is a
design method that is often used with marginalized communities for the design
of social development, policy, IT and other matters and solutions. However,
there are issues with the current PD, raising concerns when it is applied to
the design of technologies, including AI technologies. This paper argues for
the use of PD for the design of AI technologies, and introduces and proposes a
new PD, which we call agile participatory design, that not only can could be
used for the design of AI and data-driven technologies, but also overcomes
issues surrounding current PD and its use in the design of such technologies.
Related papers
- Artificial intelligence inspired freeform optics design: a review [5.118772741438762]
This article reviews the latest developments in AI applications within freeform optics design.
It addresses the benefits of AI, such as improved accuracy and performance, alongside challenges like data requirements, model interpretability, and computational complexity.
The future of AI in freeform optics design looks promising, with potential advancements in hybrid design methods, interpretable AI, AI-driven manufacturing, and targeted research for specific applications.
arXiv Detail & Related papers (2024-09-18T00:53:27Z) - Diffusion-Based Visual Art Creation: A Survey and New Perspectives [51.522935314070416]
This survey explores the emerging realm of diffusion-based visual art creation, examining its development from both artistic and technical perspectives.
Our findings reveal how artistic requirements are transformed into technical challenges and highlight the design and application of diffusion-based methods within visual art creation.
We aim to shed light on the mechanisms through which AI systems emulate and possibly, enhance human capacities in artistic perception and creativity.
arXiv Detail & Related papers (2024-08-22T04:49:50Z) - Geometric Deep Learning for Computer-Aided Design: A Survey [85.79012726689511]
This survey offers a comprehensive overview of learning-based methods in computer-aided design.
It includes similarity analysis and retrieval, 2D and 3D CAD model synthesis, and CAD generation from point clouds.
It provides a complete list of benchmark datasets and their characteristics, along with open-source codes that have propelled research in this domain.
arXiv Detail & Related papers (2024-02-27T17:11:35Z) - From Cloud to Edge: Rethinking Generative AI for Low-Resource Design
Challenges [7.1341189275030645]
We consider the potential, challenges, and promising approaches for generative AI for design on the edge.
The objective is to harness the power of generative AI in creating bespoke solutions for design problems.
arXiv Detail & Related papers (2024-02-20T03:59:27Z) - Participatory Design of AI with Children: Reflections on IDC Design
Challenge [1.3381749415517021]
Participatory Design (PD) empowers children to bring their interests, needs, and creativity to the design process of future technologies.
While PD has drawn increasing attention to human-centered AI design, it remains largely untapped in facilitating the design process of AI technologies relevant to children and their community.
We report intriguing children's design ideas on AI technologies resulting from the "Research and Design Challenge" of the 22nd ACM Interaction Design and Children (IDC 2023) conference.
arXiv Detail & Related papers (2023-04-18T15:58:46Z) - Seamful XAI: Operationalizing Seamful Design in Explainable AI [59.89011292395202]
Mistakes in AI systems are inevitable, arising from both technical limitations and sociotechnical gaps.
We propose that seamful design can foster AI explainability by revealing sociotechnical and infrastructural mismatches.
We explore this process with 43 AI practitioners and real end-users.
arXiv Detail & Related papers (2022-11-12T21:54:05Z) - Problem examination for AI methods in product design [4.020523898765404]
This paper first clarifies important terms and concepts for the interdisciplinary domain of AI methods in product design.
A key contribution is a new classification of design problems using the four characteristics decomposability, inter-dependencies, innovation and creativity.
Early mappings of these concepts to AI solutions are sketched and verified using design examples.
arXiv Detail & Related papers (2022-01-19T15:19:29Z) - Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and
Stir" [76.44130385507894]
This paper aims to ground what we dub a 'participatory turn' in AI design by synthesizing existing literature on participation and through empirical analysis of its current practices.
Based on our literature synthesis and empirical research, this paper presents a conceptual framework for analyzing participatory approaches to AI design.
arXiv Detail & Related papers (2021-11-01T17:57:04Z) - An interdisciplinary conceptual study of Artificial Intelligence (AI)
for helping benefit-risk assessment practices: Towards a comprehensive
qualification matrix of AI programs and devices (pre-print 2020) [55.41644538483948]
This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence.
The aim is to identify shared notions or discrepancies to consider for qualifying AI systems.
arXiv Detail & Related papers (2021-05-07T12:01:31Z) - Enabling Design Methodologies and Future Trends forEdge AI:
Specialization and Co-design [37.54971466190214]
We provide a comprehensive survey of the latest enabling design methodologies that span the entire edge AI development stack.
We suggest that the key methodologies for effective edge AI development are single-layer specialization and cross-layer co-design.
arXiv Detail & Related papers (2021-03-25T16:29:55Z) - Constraint Programming Algorithms for Route Planning Exploiting
Geometrical Information [91.3755431537592]
We present an overview of our current research activities concerning the development of new algorithms for route planning problems.
The research so far has focused in particular on the Euclidean Traveling Salesperson Problem (Euclidean TSP)
The aim is to exploit the results obtained also to other problems of the same category, such as the Euclidean Vehicle Problem (Euclidean VRP), in the future.
arXiv Detail & Related papers (2020-09-22T00:51:45Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.