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Women in Artificial intelligence (AI)
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This Special Issue, entitled "Women in Artificial Intelligence" includes 17 papers from leading women scientists. The papers cover a broad scope of research areas within Artificial Intelligence, including machine learning, perception, reasoning or planning, among others. The papers have applications to relevant fields, such as human health, finance, or education. It is worth noting that the Issue includes three papers that deal with different aspects of gender bias in Artificial Intelligence. All the papers have a woman as the first author. We can proudly say that these women are from countries worldwide, such as France, Czech Republic, United Kingdom, Australia, Bangladesh, Yemen, Romania, India, Cuba, Bangladesh and Spain. In conclusion, apart from its intrinsic scientific value as a Special Issue, combining interesting research works, this Special Issue intends to increase the invisibility of women in AI, showing where they are, what they do, and how they contribute to developments in Artificial Intelligence from their different places, positions, research branches and application fields. We planned to issue this book on the on Ada Lovelace Day (11/10/2022), a date internationally dedicated to the first computer programmer, a woman who had to fight the gender difficulties of her times, in the XIX century. We also thank the publisher for making this possible, thus allowing for this book to become a part of the international activities dedicated to celebrating the value of women in ICT all over the world. With this book, we want to pay homage to all the women that contributed over the years to the field of AI.
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Keywords
- 3D printing
- adaptive gamification
- AI
- artificial intelligence
- audio dataset
- bayesian network
- book copies
- bootstrapping
- Calinski–Harabasz index
- cellular automaton
- classical Arabic
- cluster validity indices
- Clustering
- cognitive states
- comparative analysis
- complexity
- computational finance
- Computed Tomography
- computer-aided diagnosis
- convolutional neural network
- convolutional neural networks
- countermeasures
- cure
- cyber activism
- Data
- data-driven studies
- deep learning
- deferring hate content
- diabetic retinopathy
- disease surveillance
- dominance-based rough set approach
- Education
- EEG analysis
- Equity
- Ethics
- explainable AI
- Forecasting
- Fuzzy logic
- fuzzy rules
- Gamification
- gender gap
- global public health
- Hate speech
- hate spread
- hierarchical clustering
- High Energy Physics
- History of engineering & technology
- hydrosocial urban cycle
- Industry 4.0
- local search optimization
- lung cancer
- lung nodule detection
- lung nodule segmentation
- Machine learning
- membership function
- mental workload
- missing datasets
- multiagent system
- multimodal data fusion
- n/a
- neural networks
- opinion diffusion
- optimization
- pandemics
- peer assessment
- player types
- Polarization
- probabilistic model
- publishing industry
- Reconstruction
- regularization
- Research
- segmentation
- short vowels
- Social networks
- T1FLS
- T2FLS
- Technology, engineering, agriculture
- Technology: general issues
- Type-1 fuzzy sets
- Type-2 fuzzy sets
- urban political ecology
- Urban Water Cycle
- user-based model
- Women
- women in artificial intelligence
- women in data science
- Women in STEM
Links
DOI: 10.3390/books978-3-0365-5532-4Editions