BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART:20250309T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251102T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250828T000300Z
UID:3C19A8DC-9610-4A9F-9AE6-5238B4B70F10
DTSTART;TZID=America/New_York:20250710T130000
DTEND;TZID=America/New_York:20250710T140000
DESCRIPTION:Come join us for the launch of IEEE Society on Social Implicati
 ons of Technology (SSIT) webinar series.\n\nIn this first talk\, Dr. Franc
 esca Rossi\, IBM Fellow and IBM AI Ethics Global Leader\, will provide an 
 overview of "AI Ethics: From Principles to Practice"\n\nAI is going to bri
 ng huge benefits in terms of scientific progress\, human wellbeing\, econo
 mic value\, and the possibility of finding solutions to major social and e
 nvironmental problems. Supported by AI\, we will be able to make more grou
 nded decisions and to focus on the main values and goals of a decision pro
 cess rather than on routine and repetitive tasks. However\, such a powerfu
 l technology also raises some concerns\, related for example to the black-
 box nature of some AI approaches\, the possible discriminatory decisions t
 hat AI algorithms may recommend\, and the accountability and responsibilit
 y when an AI system is involved in an undesirable outcome. Also\, since ma
 ny successful AI techniques rely on huge amounts of data\, it is important
  to know how data are handled by AI systems and by those who produce them.
 \n\nAs AI's capabilities evolve\, from machine learning to generative AI t
 o agentic AI\, these concerns are evolving as well\, and are among the obs
 tacles that hold AI back or that cause worry for current AI users\, adopte
 rs\, and policy makers. Without adequate and convincing answers to these q
 uestions\, many will not trust AI\, and therefore will not fully adopt it 
 nor get its positive impact.\n\nIn this talk I will present the main issue
 s around AI ethics\, showing how they have evolved over time\, and some of
  the proposed technical and non-technical solutions\, as well as practical
  actions and regulations being defined for AI development\, deployment\, a
 nd use. I will also describe how IBM has been addressing these issues with
  a company-wide multi-stakeholder and risk-based approach.\n\nSpeaker(s): 
 Dr. Francesca Rossi\, \n\nVirtual: https://events.vtools.ieee.org/m/488866
LOCATION:Virtual: https://events.vtools.ieee.org/m/488866
ORGANIZER:murtyp@ieee.org
SEQUENCE:10
SUMMARY:AI Ethics: from Principles to Practice\; Webinar from Society on So
 cial Implications of Technology 
URL;VALUE=URI:https://events.vtools.ieee.org/m/488866
X-ALT-DESC:Description: <br /><p>Come join us for the launch of IEEE Societ
 y on Social Implications of Technology (SSIT) webinar series.&nbsp\;</p>\n
 <p>In this first talk\, Dr. Francesca Rossi\, IBM Fellow and IBM AI Ethics
  Global Leader\, will provide an overview of "AI Ethics: From Principles t
 o Practice"&nbsp\;</p>\n<p class="MsoNormal">AI is going to bring huge ben
 efits in terms of scientific progress\, human wellbeing\, economic value\,
  and the possibility of finding solutions to major social and environmenta
 l problems. Supported by AI\, we will be able to make more grounded decisi
 ons and to focus on the main values and goals of a decision process rather
  than on routine and repetitive tasks. However\, such a powerful technolog
 y also raises some concerns\, related for example to the black-box nature 
 of some AI approaches\, the possible discriminatory decisions that AI algo
 rithms may recommend\, and the accountability and responsibility when an A
 I system is involved in an undesirable outcome. Also\, since many successf
 ul AI techniques rely on huge amounts of data\, it is important to know ho
 w data are handled by AI systems and by those who produce them.</p>\n<p cl
 ass="MsoNormal">As AI's capabilities evolve\, from machine learning to gen
 erative AI to agentic AI\, these concerns are evolving as well\, and are a
 mong the obstacles that hold AI back or that cause worry for current AI us
 ers\, adopters\, and policy makers. Without adequate and convincing answer
 s to these questions\, many will not trust AI\, and therefore will not ful
 ly adopt it nor get its positive impact.</p>\n<p class="MsoNormal">In this
  talk I will present the main issues around AI ethics\, showing how they h
 ave evolved over time\, and some of the proposed technical and non-technic
 al solutions\, as well as practical actions and regulations being defined 
 for AI development\, deployment\, and use. I will also describe how IBM ha
 s been addressing these issues with a company-wide multi-stakeholder and r
 isk-based approach.</p>
END:VEVENT
END:VCALENDAR