BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Vancouver BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210801T225547Z UID:DD126AF7-FD9B-4D7E-A640-B9E2E633BDE0 DTSTART;TZID=America/Vancouver:20210730T150000 DTEND;TZID=America/Vancouver:20210730T163000 DESCRIPTION:With more and more enabling AI technologies applied to enhance machine capabilities\, the machine will become increasingly autonomous. Au tonomy has been singled out as a key component of the third offset strateg y for military applications\, which intends to deliver leap-ahead battlefi eld technologies that team up soldiers with autonomous systems to enhance military capabilities. However\, humans are still vulnerable when AI enabl ed autonomy does not understand human intent or follow human instructions. Recent accidents to the Boeing 737 Max passengers ring the alarm again ab out the imperative needs of appropriate design concepts and scientific met hodologies for developing safety critical AI functions and eventually coll aborative partnership of human and autonomous systems. With AI and its rel ated technologies reach their bottleneck\, it is even more vital to follow scientific and systematic methodology to understand well about capacity a nd limitation of both human intelligence and machine intelligence so that their strengths can be optimized for a collaborative partnership when deal ing with safety critical situations. Thus\, this talk discusses about the needs for the researchers and practitioners who are interested in building and using 21st century human-autonomy symbiosis technologies (Why). It to uches the topics of proper analytical methodologies for functional require ments of the intelligent systems\, design methodologies\, implementation s trategies\, evaluation approaches\, and trusted relationships (How). These aspects will be explained with real-world examples when considering conte xtual constraints of technology\, human capability and limitations\, and f unctionalities that AI and autonomous systems should achieve (When). The f ocus will be on the context-based and interaction-centered design (ICD) ap proach for developing a safe\, trusted\, and collaborative partnership bet ween human and autonomy by optimizing the interaction between human intell igence and AI. The challenges and potential issues will also be discussed for guiding future research and development activities when augmenting hum an capabilities with AI and autonomous systems.\n\nCo-sponsored by: CH0708 8 - Vancouver Section Jt. Chapter\, CS23/RA24/SMC28\n\nSpeaker(s): Ming Ho u\, \n\nAgenda: \nWith more and more enabling AI technologies applied to e nhance machine capabilities\, the machine will become increasingly autonom ous. Autonomy has been singled out as a key component of the third offset strategy for military applications\, which intends to deliver leap-ahead b attlefield technologies that team up soldiers with autonomous systems to e nhance military capabilities. However\, humans are still vulnerable when A I enabled autonomy does not understand human intent or follow human instru ctions. Recent accidents to the Boeing 737 Max passengers ring the alarm a gain about the imperative needs of appropriate design concepts and scienti fic methodologies for developing safety critical AI functions and eventual ly collaborative partnership of human and autonomous systems. With AI and its related technologies reach their bottleneck\, it is even more vital to follow scientific and systematic methodology to understand well about cap acity and limitation of both human intelligence and machine intelligence s o that their strengths can be optimized for a collaborative partnership wh en dealing with safety critical situations. Thus\, this talk discusses abo ut the needs for the researchers and practitioners who are interested in b uilding and using 21st century human-autonomy symbiosis technologies (Why) . It touches the topics of proper analytical methodologies for functional requirements of the intelligent systems\, design methodologies\, implement ation strategies\, evaluation approaches\, and trusted relationships (How) . These aspects will be explained with real-world examples when considerin g contextual constraints of technology\, human capability and limitations\ , and functionalities that AI and autonomous systems should achieve (When) . The focus will be on the context-based and interaction-centered design ( ICD) approach for developing a safe\, trusted\, and collaborative partners hip between human and autonomy by optimizing the interaction between human intelligence and AI. The challenges and potential issues will also be dis cussed for guiding future research and development activities when augment ing human capabilities with AI and autonomous systems.\n\nVirtual: https:/ /events.vtools.ieee.org/m/273496 LOCATION:Virtual: https://events.vtools.ieee.org/m/273496 ORGANIZER:ljilja@cs.sfu.ca SEQUENCE:12 SUMMARY:Interaction-Centred Design for Optimizing Human-Autonomy Symbiosis Technology URL;VALUE=URI:https://events.vtools.ieee.org/m/273496 X-ALT-DESC:Description: <br /><div class="page" title="Page 1">\n<div class ="layoutArea">\n<div class="column">\n<p><span style="font-size: 11.000000 pt\; font-family: 'Calibri'\;">With more and more enabling AI technologies applied to enhance machine capabilities\, the machine will become increas ingly autonomous. Autonomy has been singled out as a key component of the third offset strategy for military applications\, which intends to deliver leap-ahead battlefield technologies that team up soldiers with autonomous systems to enhance military capabilities. However\, humans are still vuln erable when AI enabled autonomy does not understand human intent or follow human instructions. Recent accidents to the Boeing 737 Max passengers rin g the alarm again about the imperative needs of appropriate design concept s and scientific methodologies for developing safety critical AI functions and eventually collaborative partnership of human and autonomous systems. With AI and its related technologies reach their bottleneck\, it is even more vital to follow scientific and systematic methodology to understand w ell about capacity and limitation of both human intelligence and machine i ntelligence so that their strengths can be optimized for a collaborative p artnership when dealing with safety critical situations. Thus\, this talk discusses about the needs for the researchers and practitioners who are in terested in building and using 21st century human-autonomy symbiosis techn ologies (Why). It touches the topics of proper analytical methodologies fo r functional requirements of the intelligent systems\, design methodologie s\, implementation strategies\, evaluation approaches\, and trusted relati onships (How). These aspects will be explained with real-world examples wh en considering contextual constraints of technology\, human capability and limitations\, and functionalities that AI and autonomous systems should a chieve (When). The focus will be on the context-based and interaction-cent ered design (ICD) approach for developing a safe\, trusted\, and collabora tive partnership between human and autonomy by optimizing the interaction between human intelligence and AI. The challenges and potential issues wil l also be discussed for guiding future research and development activities when augmenting human capabilities with AI and autonomous systems. </span ></p>\n</div>\n</div>\n</div><br /><br />Agenda: <br /><div class="page" t itle="Page 1">\n<div class="layoutArea">\n<div class="column">\n<p><span s tyle="font-size: 11.000000pt\; font-family: 'Calibri'\;">With more and mor e enabling AI technologies applied to enhance machine capabilities\, the m achine will become increasingly autonomous. Autonomy has been singled out as a key component of the third offset strategy for military applications\ , which intends to deliver leap-ahead battlefield technologies that team u p soldiers with autonomous systems to enhance military capabilities. Howev er\, humans are still vulnerable when AI enabled autonomy does not underst and human intent or follow human instructions. Recent accidents to the Boe ing 737 Max passengers ring the alarm again about the imperative needs of appropriate design concepts and scientific methodologies for developing sa fety critical AI functions and eventually collaborative partnership of hum an and autonomous systems. With AI and its related technologies reach thei r bottleneck\, it is even more vital to follow scientific and systematic m ethodology to understand well about capacity and limitation of both human intelligence and machine intelligence so that their strengths can be optim ized for a collaborative partnership when dealing with safety critical sit uations. Thus\, this talk discusses about the needs for the researchers an d practitioners who are interested in building and using 21st century huma n-autonomy symbiosis technologies (Why). It touches the topics of proper a nalytical methodologies for functional requirements of the intelligent sys tems\, design methodologies\, implementation strategies\, evaluation appro aches\, and trusted relationships (How). These aspects will be explained w ith real-world examples when considering contextual constraints of technol ogy\, human capability and limitations\, and functionalities that AI and a utonomous systems should achieve (When). The focus will be on the context- based and interaction-centered design (ICD) approach for developing a safe \, trusted\, and collaborative partnership between human and autonomy by o ptimizing the interaction between human intelligence and AI. The challenge s and potential issues will also be discussed for guiding future research and development activities when augmenting human capabilities with AI and autonomous systems. </span></p>\n</div>\n</div>\n</div> END:VEVENT END:VCALENDAR