BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//cfp.securitybsides.org.uk//bsides-london-2024//speaker//
 FWUUJ8
BEGIN:VTIMEZONE
TZID:GMT
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:GMT
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:BST
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-bsides-london-2024-9FVVGB@cfp.securitybsides.org.uk
DTSTART;TZID=GMT:20241214T144500
DTEND;TZID=GMT:20241214T150000
DESCRIPTION:As IoT devices increasingly rely on real-time decision-making\,
  generative AI offers immense potential to enhance these processes by pred
 icting complex data patterns. However\, this raises important questions ab
 out trust: Can AI be relied upon to make autonomous decisions\, and how ca
 n we ensure its transparency and ethical integrity? This talk will explore
  the trustworthiness of generative AI in real-time IoT\, covering technica
 l challenges\, best practices for ensuring accuracy and reliability\, and 
 the role of explainable AI (XAI). We will also address ethical and privacy
  concerns\, providing insights on balancing innovation with responsible AI
  development.
DTSTAMP:20260609T062519Z
LOCATION:Rookie track 2
SUMMARY:The Trustworthiness of Generative AI in Real-Time Decision-Making f
 or IoT Devices - Meet Bhorania\, Yash Akbari
URL:https://cfp.securitybsides.org.uk/bsides-london-2024/talk/9FVVGB/
END:VEVENT
END:VCALENDAR