Panel on Trust in AI @Digital Life Norway: In AI we trust!? (or don’t we? / should we?)

This October, I had an opportunity to participate in the panel on Trust in AI that took place as part of Digital Life Norway conference organized by Centre for Digital Life Norway (Norwegian University of Science and Technology (NTNU)) that took place in a very peaceful Hurdal (Norway) 🇳🇴🇳🇴🇳🇴.


As part of this panel, together with M. Nicolas Cruz B. (KIWI-biolab), Korbinian Bösl (ELIXIR, both of us being also part of EOSC Association)), and Anamika Chatterjee (Norwegian University of Science and Technology (NTNU)), who masterly chaired this discussion, we discussed trust in AI and data (as an integral part of it), emphasizing the need for transparency, reproducibility, and responsibility in managing them.


What made this discussion to be rather insightful – for ourselves, and, hopefully, for the audience as well – is that each of us represented a distinct stage in the data lifecycle debated upon the aspect of trust and where concerns arise as data moves from the lab to inform AI tools [in biotechnology].
As such we:
âś…highlighted the interconnectedness of human actors involved in data production, governance, and application;
âś…highlighted the importance of proper documentation to make data usable and trustworthy, along with the need for transparency – not only for data but also for AI in general, incl. explainable AI;
âś…discussed how responsibility becomes blurred as AI-driven methodologies become more prevalent, agreeing that responsibility for AI systems must be shared across teams.
Lastly, despite being openness advocate, I used this opportunity to touch on the risks of open data, including the potential for misuse and ethical concerns, esp. when it comes to medical- and biotechnologies-related topics.


All in all, although rather short discussion with some more things we would love to cover but were forced to omit this time, but very lively and insightful. Sounds interesting? Watch the video, incl. keynote by Nico Cruz 👇.

And not of least interest was a diverse set of other events – keynotes, panels, posters etc. – takeaways from which to take back home (not really to home, as from the DNL, I went to the Estonian Open Data Forum, from which to ECAI, and then, finally back home to digest all the insights), where “Storytelling: is controversy good? How to pitch your research to a non-academic audience” by Kam Sripada and panel on supervision are probably the main things I take with me.


Many thanks go organizers for having me and the hospitality, where the later also goes to Hurdal 🇳🇴 in general, as we were lucky enough to have a very sunny weather, which made this very first trip to Norway – and, hopefully, not the last one – very pleasant!

CFP: The International Conference on Intelligent Data Science Technologies and Applications (IDSTA2023)

On behalf of the organizers and as a publicity chair, I sincerely invite you to consider submitting the results of your recent research to The International Conference on Intelligent Data Science Technologies and Applications (IDSTA2023), which will be held in conjunction Kuwait Fintech and Blockchain Summit.

Huge amount of data is being generated and transmitted everyday. To be able to deal with this data, extract useful information from it, store it, transmit it, and represent it, intelligent technologies and applications are needed. The International Conference on Intelligent Data Science Technologies and Applications (IDSTA) is a peer reviewed conference, whose objective is to advance the Data Science field by giving an opportunity for researchers, engineers, and practitioners to present their latest findings in the field. It will also invite key persons in the field to share their current knowledge and their future expectations for the field. Topics of interest for submission include, but are not limited to:

đź’ˇApplied Public Affairs, incl. but not limited to Campaign Management, Mass Communication Politics, Political Analysis, Survey Sampling
đź’ˇBusiness Analytics, incl. but not limited to Stock Market Analysis, Predictive Analytics, Business Intelligence
đź’ˇFinance, incl. but not limited to Risk Management, Algorithmic Trading, Fraud Detection, Financial Analysis
đź’ˇComputer Science, incl. but not limited to Database Management Systems, Scientific Computing, Computer Vision, Fuzzy Computing, Feature Selection, Neural Networks, Deep Learning, Meta-Learning, Process Mining, Artificial Intelligence, Data Mining, Big Data, Web Analytics, Text Mining, Natural Language Processing, Sentiment Analysis, Social Media Analysis, Data Fusion, Performance Analysis and Evaluation, Evolutionary Computing and Optimization, Hybrid Methods, Granular Computing, Recommender Systems, Data Visualization, Predictive Maintenance, Internet of Things (IoT), Web Scraping
đź’ˇSustainability, incl. but not limited to Datasets on Sustainability, Sustainability Modeling, Energy Sustainability, Water Sustainability, Environmental Sustainability, Risk Analysis
đź’ˇCybersecurity, incl. but not limited to Data Privacy and Security, Network Security, Communication Security, Cryptography, Fraud Detection, Blockchain
đź’ˇEnvironmental Science, incl. but not limited to GIS, Climatographic, Remote Sensing, Spatial Data Analysis, Weather Prediction and Tracking,
đź’ˇBiotechnologies, incl. but not limited to Gnome Analysis, Drug Discovery and Screening and Side Effect Analysis, Structural and Folding Pattern, Disease Discovery and Classification, Bioinformatics, Next-Gen Sequencing
đź’ˇSmart City, incl. but not limited to City Data Management, Smart Traffic, Surveillance, Location-Based Services, Robotics
đź’ˇHuman Behaviour Understanding
đź’ˇSemi-Structured and Unstructured Data
đź’ˇPattern Recognition
đź’ˇTransparency in Research Data
đź’ˇData and Information Quality
đź’ˇGPU Computing
đź’ˇCrowdsourcing


🗓️🗓️🗓️ IMPORTANT DATES

  • Paper submission:  March 15, 2023  
  • Acceptance notification:  May 20th, 2023
  • Full paper camera-ready submission: October 1st, 2023
    Conference Dates: October 24-26, 2023

All papers that are accepted, registered, and presented in IDSTA2023 and the workshops co-located with it will be submitted to IEEEXplore for possible publication. 
For any inquiries, contact intelligenttechorg@gmail.com.

Submit the paper and meet our team in Kuwait in October, 2023!
 

With best wishes,

IDSTA2023 organizers