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BEGIN:VEVENT
UID:20260914T232318Z - 92949@eu441a.odoo.com
DTSTART;TZID=Europe/Brussels:20241121T090000
DTEND;TZID=Europe/Brussels:20241121T170000
CREATED:20260914T232318Z
DESCRIPTION:<a href="https://www.sustain.brussels/event/train-the-trainer-p
 ut-responsible-and-sustainable-ai-into-practice-101/register">Train The Tr
 ainer - Put Responsible and Sustainable AI into Practice</a>\nUnlock the s
 ecrets to building ethical\, sustainable\, and responsible AI during this 
 one-day masterclass. AI is taking up an ever more important role in softwa
 re development\, with core software functionalities being replaced by mach
 ine learning models. However\, the use of such adaptive techniques is not 
 without drawbacks. They may use a lot of energy\, introduce bias\, and hav
 e discriminatory effects. Building ethical and sustainable AI is therefore
  no longer optional -- it's essential for business success and social impa
 ct. This training focuses on building AI solutions that are not only power
 ful but also ethical\, responsible\, and sustainable. Learning Outcomes Pa
 rticipants will learn to discover and handle drawbacks and gaps in a class
 ification pipeline through the operationalisation of responsible and susta
 inable AI practice. Specifically\, participants will learn practical techn
 iques for and gain a solid understand of: How to improve the performance o
 f ML systems for minorities How to assess fairness of ML techniques how to
  lower the need for large amounts of data. Strengths and weaknesses of dif
 ferent evaluation metrics. Sources of bias that may introduce discriminati
 on. How to improve the robustness of algorithmic outcomes. Awareness of po
 tential secondary effects that are not modelled in data. Our team\, Diana 
 Remache and Corneliu Cofaru\, would be happy to welcome you on the day\, s
 upported by VUB AI Lab expertise. Key Features Hands-on training through p
 roblem-based learning: Start solving classification problem\, reflect in g
 roup\, and learn from each other's. Coding in pairs: Partner in pairs base
 d on personal preferences for coding. Actionable takeaways: Walk away with
  practical techniques and actionable skills to immediately integrate respo
 nsible\, ethical\, and sustainable AI strategies into projects. Target Aud
 ience The ideal participants for this bootcamp [...]
DTSTAMP:20260914T232318Z
LOCATION:BeCentral\, Cantersteen 12\, 1000 Bruxelles\, Belgium
SUMMARY:Train The Trainer - Put Responsible and Sustainable AI into Practic
 e
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.sustain.brussels/event/tr
 ain-the-trainer-put-responsible-and-sustainable-ai-into-practice-101/regis
 ter">Train The Trainer - Put Responsible and Sustainable AI into Practice<
 /a>\nUnlock the secrets to building ethical\, sustainable\, and responsibl
 e AI during this one-day masterclass. AI is taking up an ever more importa
 nt role in software development\, with core software functionalities being
  replaced by machine learning models. However\, the use of such adaptive t
 echniques is not without drawbacks. They may use a lot of energy\, introdu
 ce bias\, and have discriminatory effects. Building ethical and sustainabl
 e AI is therefore no longer optional -- it's essential for business succes
 s and social impact. This training focuses on building AI solutions that a
 re not only powerful but also ethical\, responsible\, and sustainable. Lea
 rning Outcomes Participants will learn to discover and handle drawbacks an
 d gaps in a classification pipeline through the operationalisation of resp
 onsible and sustainable AI practice. Specifically\, participants will lear
 n practical techniques for and gain a solid understand of: How to improve 
 the performance of ML systems for minorities How to assess fairness of ML 
 techniques how to lower the need for large amounts of data. Strengths and 
 weaknesses of different evaluation metrics. Sources of bias that may intro
 duce discrimination. How to improve the robustness of algorithmic outcomes
 . Awareness of potential secondary effects that are not modelled in data. 
 Our team\, Diana Remache and Corneliu Cofaru\, would be happy to welcome y
 ou on the day\, supported by VUB AI Lab expertise. Key Features Hands-on t
 raining through problem-based learning: Start solving classification probl
 em\, reflect in group\, and learn from each other's. Coding in pairs: Part
 ner in pairs based on personal preferences for coding. Actionable takeaway
 s: Walk away with practical techniques and actionable skills to immediatel
 y integrate responsible\, ethical\, and sustainable AI strategies into pro
 jects. Target Audience The ideal participants for this bootcamp [...]
END:VEVENT
END:VCALENDAR