TAG ARCHIVES FOR AI

8
Aug2022

We are finally witnessing increasing adoption of digital pathology in clinical practice. Pathologists are beginning to embrace and utilize artificial intelligence (AI) tools and ideas to augment routine pathology practice. All stakeholders in pathology need to fully understand the ethical frameworks required to develop, deploy, and maintain transparent, trustworthy, explainable, scalable, interoperable, and sustainable digital AI tools. Read more

14
Jul2022

When we talk about AI research, we are mainly talking about research that seeks to develop tools that will replace human decision-making. The development of AI typically involves the collection and use of huge amounts of data to train an algorithm to make decisions or predictions within some domain. While there may be risks to people whose data are included in the large data sets used to train algorithms, the most salient and serious risk of harm in AI research is to those on whom the AI is applied in the real world. Read more

30
Jun2022

The three largest concerns around the ethics of AI/ML in artificial intelligence human subject research are explainability, identifiability, and algorithmic bias. It is imperative that IRBs understand the AI/ML’s explainability in order to fulfill their responsibility of adequately assessing the risk-benefit ratio in AIHSR. Read more