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DESCRIPTION:“General Ethical Requirements for AI Certification”\n\nA conver
 sation with Jocelyn Maclure and Markus Gabriel and launch of the whitepape
 r by Nicholas Kluge Corrêa and Julia Maria Mönig\n\nThis event will take p
 lace at the Center for Science and Thought at the University of Bonn in Ge
 rmany.\n\nThe research project 'Certified AI' explores the question of wha
 t a certification of 'trustworthy AI' could look like. The philosophy team
 \, Nicholas Kluge Corrêa and Julia Maria Mönig\, research this question fr
 om an ethical perspective.\n\nWhile many arguments can be raised against c
 ertifying 'ethical' AI\, with our latest publication we offer guidance to 
 computer scientists and programmers on how to try to make AI-based applica
 tions more 'ethical'. We do this by presenting (a list of) ethical princip
 les that are consistent with other proposals in the literature. We briefly
  explain what the values are and why they are important\, and give example
 s to align them with the risk categories of the European AI Act (2024). To
  operationalize the principles\, for each step we propose methods and tech
 nical tools that can be used to put the ethical requirements into practice
 . In the long run\, this could serve as a way to make the tech industry's 
 current profit-driven motto of 'move fast and break things' fairer\, more 
 privacy- preserving\, safer and more robust\, sustainable and transparent\
 , while promoting accountability and truthfulness\, if developers adhere t
 o the proposed practices. \n\nArguments against ethics 'certification' (in
 cluding by the authors) are that companies and other stakeholders could us
 e it as 'ethics washing'. In addition\, practices may evolve over time and
  therefore certification (as in other areas) could only be valid for a lim
 ited period of time\, if at all\, after which it would need to be renewed.
  In addition\, ethical tools may not have the intended effects\, as has be
 en shown in the literature\, e.g. for the example of fairness algorithms. 
 Last but not least\, it is difficult to 'standardise' ethics\, as this ent
 ails quantification\, whereas ethics refers to and consists of deliberatio
 n\, with values that may change over time\, and in a liberal-democratic sy
 stem must take into account the views of all stakeholders\, especially vul
 nerable groups. We hence suggest that the efforts laid out in the paper wo
 uld need to be accompanied for instance by workshops\, guidance by profess
 ional ethicists and discussions with involved stakeholders.\n\nWhile the v
 alues presented in the white paper resonate with those usually attributed 
 to the so-called 'Global North'\, we understand these values as being univ
 ersal\, with human dignity and respect at their core. The four overarching
  principles of autonomy\, beneficence\, no harm and accountability are int
 ended to serve all humans on earth\, and call for the ethical inclusion of
  all potentially affected stakeholders\,  e.g. through the principle of su
 stainability that addresses problems caused by the actions of the 'Global 
 North' on the 'Global South'.\n\nIn this workshop we will present the guid
 elines in the presence of Markus Gabriel\, the principal investigator of t
 he philosophy subproject of 'Zertifizierte KI'\, and Jocelyn Maclure who w
 ill comment on them from a philosophical perspective\, drawing on his expe
 rtise and decade-long experience in AI ethics.\n
DTSTART:20241218T200000Z
DTEND:20241218T220000Z
LOCATION:DE
SUMMARY:White Paper Launch and Workshop: General Ethical Requirements for A
 I Certification
URL:/jarislowsky-chair/channels/event/white-paper-laun
 ch-and-workshop-general-ethical-requirements-ai-certification-362025
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