BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260504T215116Z UID:8EF9D066-ECA8-4E5A-A14F-FA116D6AA2B2 DTSTART;TZID=America/New_York:20260522T090000 DTEND;TZID=America/New_York:20260522T100000 DESCRIPTION:AI ethics has a gap most that engineers are unaware of. The dom inant frameworks governing responsible AI\, from IEEE's Ethically Aligned Design to the EU AI Act to corporate ethics guidelines\, address the outpu ts of AI systems: their fairness\, their transparency\, their compliance. They ask what the system does yet we are just beginning to understand the full impacts\, the critical complex risks of users’ interaction with AI systems across sectors\, cultures and generations.\n\nThis webinar session introduces the concept of the Human Readiness Gap: the systemic lag betwe en the pace of AI design\, development and deployment and the preparation of the human beings who use\, depend on\, and are governed by AI systems. Drawing on cognitive science\, clinical psychology\, and social research\, it presents evidence-backed research of AI's effects on human cognition\, psychological safety\, and social-relational impacts\, effects that exist ing practices do not address.\n\nResponsible AI use of AI systems is not p rimarily a technical or policy skill. It is an awareness and understanding of human preparation and readiness to interact with AI systems\, not limi ted to\, but especially generative AI systems. A technically sound system designed without these in mind and deployed to an unprepared human populat ion has increased risk of producing unethical ethical outcomes to intended and unintended users. And engineers\, as the designers of these systems\, are positioned to help address it first.\n\nThe session examines the lead ing AI ethics frameworks and practices through a structural lens: what the y measure\, what they assume\, and what is left out. The consistent findin g that the interior experience of the human user\, how AI reshapes judgmen t\, erodes agency\, or restructures relationships\, falls outside the scop e of every major framework currently in practice. This webinar makes the c ase that this omission is not peripheral. It is the central challenge of r esponsible AI deployment in the decade ahead and into the future.\n\nCo-sp onsored by: Northern Virginia/Washington/Baltimore Chapter of SSIT\n\nSpea ker(s): Marisa\n\nAgenda: \nPresentation: 9 AM (eastern time zone).\n\nVir tual: https://events.vtools.ieee.org/m/557609 LOCATION:Virtual: https://events.vtools.ieee.org/m/557609 ORGANIZER:drkrish@ieee.org SEQUENCE:8 SUMMARY:The Human Readiness Gap in AI Ethics and Machine Systems Design URL;VALUE=URI:https://events.vtools.ieee.org/m/557609 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="text-align: justi fy\; text-justify: inter-ideograph\;"><span style="font-size: 12.0pt\; mso -bidi-font-weight: bold\;">AI ethics has a gap most that engineers are una ware of. The dominant frameworks governing responsible AI\, from IEEE's Et hically Aligned Design to the EU AI Act to corporate ethics guidelines\, a ddress the outputs of AI systems: their fairness\, their transparency\, th eir compliance. They ask what the system does yet we are just beginning to understand the full impacts\, the critical complex risks of users&rsquo\; interaction with AI systems across sectors\, cultures and generations</sp an><span style="font-size: 12.0pt\;">.</span></p>\n<p class="MsoNormal" st yle="text-align: justify\; text-justify: inter-ideograph\;"><span style="f ont-size: 12.0pt\; mso-bidi-font-weight: bold\;">This webinar session intr oduces the concept of the Human Readiness Gap: the systemic lag between th e pace of AI design\, development and deployment and the preparation of th e human beings who use\, depend on\, and are governed by AI systems. Drawi ng on cognitive science\, clinical psychology\, and social research\, it p resents evidence-backed research of AI's effects on human cognition\, psyc hological safety\, and social-relational impacts\, effects that existing p ractices do not address</span><span style="font-size: 12.0pt\;">.</span></ p>\n<p class="MsoNormal" style="text-align: justify\; text-justify: inter- ideograph\;"><span style="font-size: 12.0pt\; mso-bidi-font-weight: bold\; ">Responsible AI use of AI systems is not primarily a technical or policy skill. It is an awareness and understanding of human preparation and readi ness to interact with AI systems\, not limited to\, but especially generat ive AI systems. A technically sound system designed without these in mind and deployed to an unprepared human population has increased risk of produ cing unethical ethical outcomes to intended and unintended users. And engi neers\, as the designers of these systems\, are positioned to help address it first</span><span style="font-size: 12.0pt\;">.</span></p>\n<p class=" MsoNormal" style="text-align: justify\; text-justify: inter-ideograph\;">< span style="font-size: 12.0pt\; mso-bidi-font-weight: bold\;">The session examines the leading AI ethics frameworks and practices through a structur al lens: what they measure\, what they assume\, and what is left out. The consistent finding that the interior experience of the human user\, how AI reshapes judgment\, erodes agency\, or restructures relationships\, falls outside the scope of every major framework currently in practice. This we binar makes the case that this omission is not peripheral. It is the centr al challenge of responsible AI deployment in the decade ahead and into the future</span><span style="font-size: 12.0pt\;">.</span></p><br /><br />Ag enda: <br /><p>Presentation: 9 AM (eastern time zone).</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR