DIKU Alumnedag 2023: AI, ML and ChatGPT – risks and potential

Hør spændende oplæg, mød alumner du kender, lær nye at kende, spis god mad, og hyg dig!
DIKU Alumneforening inviterer sammen med DIKU Business Club til den årlige alumnedag. Årets tema bliver 'AI, ML and ChatGPT – risks and potential'.
Inden middagen, som er gratis for alle, der tilmelder sig, runder vi programmet af med nogle revyklassikere fra DIKU-revyen, der kan fejre 50 års jubilæum i 2023.
Igen i år kan du bede om at sidde ved et årgangsbord. Du kan allerede nu tilmelde dig alumnedagen - klik på den røde boks til højre!
Program:
17:00-17:10 |
Welcome by the Head of Department:
What's happening at DIKU?
|
|
17:10-17:30 |
ChatGPT in EducationProfessor Morten Misfeldt and Associate Professor Daniel Spikol will present interesting insights about ChatGPT and the entry of 'generative AI' into the education sector – what are the opportunities and what are the pitfalls?
|
|
17:30-17:50 |
What can we do about AI?Generative artificial intelligence supercharges existing concerns about the role of digital technologies in society, and forces us to engage with pressing questions about ethics, responsibility and values. This talk highlights the challenges and choices that we face as universities and societies in times of artifical intelligence. |
|
Short break
|
||
18:00-18:15 |
The End of Words? Language Modelling from Pixels Language models are defined over a finite set of inputs, which creates a bottleneck if we attempt to scale the number of supported languages. Tackling this bottleneck usually results in a trade-off between what can be represented in the embedding matrix and computational issues in the output layer. I will present the Pixel-based Encoder of Language, which does not suffer from this issue, making it possible to directly support any language that can be typeset by a computer. |
![]() |
18:15-18:30 |
AI, ML and Outliers - A Case Study of Asylum Case Data in DenmarkRefugees worldwide now face an evolving landscape of data-driven decision-making as they seek asylum. Countries like the US, Canada, and Australia are increasingly turning to machine learning algorithms to predict asylum outcomes, aiming to mitigate potential biases among human judges and achieve greater decision consistency. However, these algorithmic approaches often hinge on notions of "norms" and rely on assumptions of representativeness, which can profoundly affect the lives of vulnerable individuals. This presentation takes a closer look at the intricate concept of outliers within this context and delves into how machine learning algorithms, in conjunction with human judgment, construct the ideas of "normal" and "outlier."
Through illustrative examples of asylum case outliers, we emphasize that amidst the fervor of big data, the data points representing real people can be easily overlooked when they don't align with the algorithmically established norm. Our objective is to illuminate the complexity of asylum decision-making, shedding light on potential blind spots that may arise when employing AI in high-stakes areas like this one.
|
![]() Kristin Kalten-häuser,
PhD Student, Computer Science, Software, Data, People and Society
|
18:30-18:45 |
Panel discussion and Q&A
|
|
18:45-19:00 |
DIKU revue 50th anniversary sketchThe DIKU Revue will entertain you with some revue classics as a warm-up for their upcoming 50th anniversary, which will be celebrated in October. Enjoy Torben and Torben performing "A workplace in Denmark"
|
|
19:00 - | Dinner |
Who is attending?
Agnete K. Jensen
Alex Gustafsson
Anders Bystrup
Anders Bondorf
Anders Skött
André Andersen
Anne Marie Munk Jørgensen
Anton Boules
Antonia Karamolegkou
Arnav Agrawal
Asger Palm
Benjamin Rotendahl
Berit Dangaard Brouer
Bertan Turan
Birgitte Tågholt
Birgitte Ejsing
Birgitte Christiansen
Bisken Bonfils
Bjarne Radmer
Bo Møller
Bodil Schrøder
Camilla Arffmann
Carsten Gyrn
Carsten Petersen
Casper Berthelsen
Christian Sejersen
Christian Veng
Christian Franck
David Munch-Andersen
Erik Meiling
Frederik Rønn
Gorm Raabo Larsen
Hans Bendtsen
Hans Hyttel
Hans-Henrik Kaaber
Henriette Vang-Lauridsen
Holger Danielsen
Inge Madsen
Ioana Mogensen
Irene Elise Larsen
Jacob Munk-Stander
Jacob Nørbjerg
Jacob Holm
Jacob Berlin Rasmussen
Jakob Damgaard
Jakob Kehlet
Jakob Skipper
Jan Clausen
Jan Meiling
Jarl Friis
Jenifer Lloyd
Jens Boeskov Rasmussen
Jens Brix Christiansen
Jens Hynne Petersen
Jeppe Damkjær Nielsen
Jesper Møller
Joakim Dalby
Johnny Mossin
Jón Gísli Egilsson
Jonathan Gabel Christiansen
Joshua Niemelä
Kaj Sørit Bonfils
Karsten Djurtoft
Klaus Hansen
Kristian de Lichtenberg
Kristina Petersen
Kaare Danielsen
Lars Thorup
Laust Volsgaard Nielsen
Li Quan
lise oline Larsen
Maja Kirkeby
Malene Bolding
Martin Skovgaard
Martin Hvidberg
Martin Koch
Martin Shi
Martin Winge Andersen
Mathias Gammelgaard
Mathias Nikolaisen
Mikkel Nicolaysen
Mikkel Hippe
Mikkel Kjær Jensen
Mirabelle Jones
Mirza Hasanbasic
Monika Haubro
Morten Osted
Morten Jøhnk
Morten Dolmer Christensen
Morten Heine Sørensen
Mustafa Temiz
Niels Qvistgaard
Niels Christensen
Niels Christian Smed Christensen
Niels Ull Harremoes
Nikolaj Berg Amondsen
Ole Christensen
Oleks Shturmov
Parthena Caracassis
Peidi Xu
Peter Funch
Philip Parslov
Philip Kaare Løventoft
Pimin Konstantin Kefaloukos
Sanna Schlosser
Sham Alkhatib
Simon Søe Nissen
Sisse Harrev
Steen Jürs
Sule Altintas
Svend Olaf Mikkelsen
Søren Olsen
Søren Kerrn
thomas hjorth
Toke Nielsen
Torben Mogensen
Torben Tronborg
Torben Hansen
Uffe Donslund
Uffe Gram Christensen
Vagn Knudsen
Viggo Kørst
Youhui Shi