Why is this important? (Important Because)
From The Embassy of Good Science
A description to provide more focus to the theme/resource (max. 200 words)
- ⧼SA Foundation Data Type⧽: Text
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A University of Liverpool investigation determined that a former researcher there fabricated his data +
Revealing, investigating, reporting, and following up fraud can be resource consuming. +
Reaching consensus on a commonly accepted definition of AI Fairness has long been a central challenge in AI ethics and governance. There is a broad spectrum of views across society on what the concept of fairness means and how it should best be put to practice.
We begin by exploring how, despite the plurality of understandings about the meaning of fairness, priorities of equality and non-discrimination have come to constitute the broadly accepted core of its application as a practical principle. We focus on how these priorities manifest in the form of equal protection from direct and indirect discrimination and from discriminatory harassment. These elements form ethical and legal criteria based upon which instances of unfair bias and discrimination can be identified and mitigated across the AI project workflow.
We then take a deeper dive into how the different contexts of the AI project lifecycle give rise to different fairness concerns. This allows us to identify several types of AI Fairness (Data Fairness, Application Fairness, Model Design and Development Fairness, Metric-Based Fairness, System Implementation Fairness, and Ecosystem Fairness) that form the basis of a multi-lens approach to bias identification, mitigation, and management. +
<div>AI systems may have transformative and long-term effects on individuals and society. To manage these impacts responsibly and direct the development of AI systems toward optimal public benefit, considerations of AI ethics and governance must be a first priority.</div><div></div> +
Sustainable AI projects are continuously responsive to the transformative effects as well as short-, medium-, and long-term impacts on individuals and society that the design, development, and deployment of AI technologies may have. Projects which centre AI Sustainability ensure that values-led, collaborative, and anticipatory reflection both guide the assessment of potential social and ethical impacts, and steer responsible innovation practices. +
The sustainability of AI systems depends on the capacity of project teams to proceed with a continuous sensitivity to their potential real-world impacts and transformative effects. Stakeholder Impact Assessments (SIAs) are governance mechanisms that enable this kind of responsiveness. They are tools that create a procedure for, and a means of documenting, the collaborative evaluation and reflective anticipation of the possible harms and benefits of AI innovation projects. SIAs are not one-off governance actions. They require project teams to pay continuous attention to the dynamic and changing character of AI production and use and to the shifting conditions of the real-world environments in which AI technologies are embedded. +
Ethics in science requires researchers to pay due attention to the effects on their subject group, including also animals, as well as to wider society and to minimise harmful effects on their research subjects. Therefore, ensuring that research ethics are abided by serves to put science on track to be trustworthy, reproducible and sustainable. In research ethics conflicts of values and interests between stakeholders are identified, analysed – and proposals for solution of such conflicts are described (in empirical research ethics), or are made and argued for (in normative research ethics). The stakeholders involve other researchers, users, research subjects, including animals, funding agencies as well as society at large, including future generations.
Research integrity touches on the ethos of science and is guided by the rules imposed on the research community by itself. As such, research integrity aims at providing a comprehensive framework for scientists as to how to carry out their work within accepted ethical frameworks as well as following good scientific practice. +
It consider whether research in a personal capacity falls within the scope of a university's complaints procedure. +
Research integrity issues have to be dealt with at an early stage of a researchers career. This tutorial is a useful and fun way to address this topic. +
These are thought provoking examples of roles and responsibilities in the PhD student-supervisor relationship. They are real examples that can be used for reflection for supervisors and students alike, as well as for teaching purposes. +
Research administrators have an important role in promoting research integrity and bringing solutions to problems and conflicts. For accomplishing this work, administrators need to have a set of skills and knowledge which are presented in this module. +
This is a useful resource for organizing a case discussion on conflicts of interest. +
Whilst some publishers allow or encourage suggestions for reviewers, one needs to be careful at how they go about this often controversial practice. Journals in general have a transparent policy and set of guidelines on peer-reviewing. Some publishing bodies offer comprehensive sections on peer-[https://www.wiley.com/network/researchers/being-a-peer-reviewer reviewing] +
An author realized a paper had plagiarized his thesis. It took the journal four years to retract it. +
This case demonstrates that even famous journals might publish plagiarised material. It also shows that sometimes it might take years before a flawed article is retracted. +
Careful research planning helps to eliminate potential problems and increases the validity of the findings. +
By providing a focus for discussion, cases help staff involved in research to define or refine their own standards, to appreciate alternative approaches to identifying and resolving ethical problems, and to develop skills for dealing with hard problems on their own'"`UNIQ--ref-000001FE-QINU`"'. +
Anthropological conventions specify the use of pseudonyms in certain types of anthropological reporting, specifically if there is any chance that individuals or a community might be harmed. +
Bu online modül, eğitimde kullanılan kavramlara ilişkin temel açıklamalar sunmakta ve bu yolla, eğitim alan kişilerin eğitime ortak bir terminoloji ve bilgi birikimi ile başlamasını sağlamaktadır. +
Research integrity is increasingly considered a core instructional area. Proper education and training will contribute to the cultivation of responsible research culture while corresponding to the ethical, financial and legal requirements related to acceptance of funding. +
The Australian research community can benefit from the guidelines from the NHMRC. +
Australian Guide to Managing and Investigating Potential Breaches of the Code for the Responsible Conduct of Research +
Having official procedures in place for investigating RM can ensure the processes are held in a fair and transparent manner. +
