This is part 2 of Natalie’s Permission to Be Uncertain series.
The interviews in this series explore how today’s AI practitioners, entrepreneurs, policy makers, and industry leaders are thinking about the ethical implications of their work, as individuals and as professionals. My goal is to reveal the paradoxes, contradictions, ironies, and uncertainties in the ethics and responsibility debates in the growing field of AI.
I believe that validating the lack of clarity and coherence may, at this stage, be more valuable than prescribing solutions rife with contradictions and blind spots. This initiative instead grants permission to be uncertain if not confused, and provides a forum for open and honest discussion that can help inform tech policy, research agendas, academic curricula, business strategy, and citizen action.
Artificial intelligence has recently emerged from its most recent winter. Many technical researchers are now facing a moral dilemma as they watch their work find its way out of the lab and into our lives in ways they had not intended or imagined but more importantly, in ways they find objectionable.
L'IA : opportunité ou menace ? Les DSI de la finance s'interrogent Alors que l'intelligence…
Sécurité des identités : un pilier essentiel pour la conformité au règlement DORA dans le…
La transformation numérique du secteur financier n'a pas que du bon : elle augmente aussi…
Telegram envisage de quitter la France : le chiffrement de bout en bout au cœur…
L'intelligence artificielle (IA) révolutionne le paysage de la cybersécurité, mais pas toujours dans le bon…
TISAX® et ISO 27001 sont toutes deux des normes dédiées à la sécurité de l’information. Bien qu’elles aient…
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