Workshops
Workshops
TBA
The 4th Workshop on “Artificial Intelligence and Ethics” (AI & ETHICS)
2024 is a year in which democracy is under threat in many parts of the world. Voters are exercising their democratic right to vote in India, the United Kingdom, the United States, the European Union, South Africa, and many other countries. At the same time, we are in the third A.I. “boom” and the explosion of A.I. tools based around Generative A.I. models has become a technological “arms race” with ‘Big Tech’ companies competing to roll out their new or updated A.I. tools. Some of these developments have been controversial, and have already resulted in significant harms to individuals, groups, companies, and potentially to society at large – including impacting on democracy itself.
Our workshop will explore what is happening with the latest boom in A.I., and whether the attempts to create legislation, regulations, and governance frameworks which can create ‘guardrails’ around A.I. without stifling the drive to innovate and productise A.I. research and development is working.
Our panel includes the Co-Editors-in-Chief of the Springer Nature journal AI and Ethics, as well as experts from the tech industries who are driving A.I. developments forward. The workshop will be interactive, and we hope for a lively audience debate!
More info will be announced soon…!!!
The 1st Workshop on “Artificial Intelligence in Process Mining” (AIPM)
We are pleased to announce the 1st workshop on Artificial Intelligence in Process Mining (AIPM), a forum for researchers, practitioners, and industry experts to converge and explore the transformative potential of artificial intelligence in the realm of process mining
As organizations strive for operational excellence and data-driven decision-making, the synergy between artificial intelligence (AI) and process mining becomes increasingly vital. WAIPM 2023 aims to bridge the gap between these two dynamic fields, offering a platform for sharing cutting-edge research, practical insights, and innovative solutions.
Workshops
The 1st Workshop on “Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine" (VAA-CP-EB)
Many problems today in the fields of biomedicine and engineering involve huge amounts of data, a large number of variables and a high complexity of the underlying processes, with many factors influencing their behavior, facing common challenges in diagnosis, prognosis, estimation, anomaly detection, accurate and explainable modeling, timeseries and image analysis or knowledge discovery, just to mention a few.
The 1st Workshop on “Anomaly Detection in Unstructured Data" (ADUD)
Anomaly detection is one of the machine/deep learning techniques with the largest number of practical applications; for example, predictive maintenance, cybersecurity and fraud detection, to name a few. On the other hand, unstructured data (mainly text, images and video) has become the predominant data in terms of size and number of applications compared to structured data.
The 3rd Workshop on “Artificial Intelligence and Ethics” (AI & ETHICS)
The 3rd AIETH be an interactive workshop led by Professor John MacIntyre, with short presentations from the panel members and an open Q&A session where we hope the audience members will be able to ask, and answer, important questions about the current and future development of Generative AI models
“The 3rd Workshop on Defense Applications of AI (DAAI) – an EDA – EU conference
Main Theme: “Defence Use Cases – Scenarios with Applicable AI”
The 3rd Defence Applications of Artificial Intelligence (DAAI) Workshop will be organized by the European Defense Agency (EDA) aiming at presenting recent evolutions in artificial intelligence, applicable to defence and security.
This year, the workshop will focus on applicable AI use cases and/or scenarios that have been used to solve decision making, situational awareness and other relevant problems/gaps for military operations.
Selected invited speakers from Industry and/or Academia will present AI solutions that have created noteable value and efficiency in different military scenarios.
Since AI is expected to transform the future defence and security domains it will be very useful to review what is the current state of play in applicable AI solutions for defence in an effort to better assess the future requirements and capabilities.