Conversations : towards ethical AI

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<rdf:Description>
<dc:creator>Capgemini Research Institute</dc:creator>
<dc:date>2020</dc:date>
<dc:description xml:lang="es">Sumario: Every wave of technology innovation raises its own set of ethical questions, from unintended and harmful consequences for users to concerns about technologies being weaponized. To compound matters, the pace of technological advancement tends to outstrip the pace of regulatory and ethical frameworks. This is the position that AI finds itself in today. AI has unleashed a range of ethical questions, from concerns over autonomous vehicles to what constitutes end-user consent. In this edition of Conversations, we interview a range of experts and practitioners, providing varied perspective on tackling issues of ethics and transparency in AI and the role of guidelines and regulations in this space.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/172644.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>Capgemini Research Institute</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Ética</dc:subject>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Desarrollo tecnológico</dc:subject>
<dc:subject xml:lang="es">Transparencia informativa</dc:subject>
<dc:subject xml:lang="es">Toma de decisiones</dc:subject>
<dc:subject xml:lang="es">Estrategia empresarial</dc:subject>
<dc:subject xml:lang="es">Innovación</dc:subject>
<dc:type xml:lang="es">Livros</dc:type>
<dc:title xml:lang="es">Conversations : towards ethical AI</dc:title>
<dc:format xml:lang="es">116 p.</dc:format>
<dc:description xml:lang="es">Introduction: Infusing ethics and transparency into AI -- Industry leader perspectives: Designing ethical and transparent AI for healthcare / Saskia Steinacker; Taking a human-centered approach to building ethical and transparent AI / Michael Natusch; Leveraging the power of ethical and transparent AI for business transformation / Paul Cobban; Understanding the role of regulations and standards in creating digital ethics / Nicolas Economou; Building robust AI through interpretable AI implementation / Marcin Detyniecki; Building Ready for take-off: Defining a new age in AI innovation and accountability at Heathrow / Stuart Birrell -- Academia perspectives: Building trust in AI-based decision making by understanding the strengths and limitations of machines / Daniela Rus; The virtuous circle of trusted AI: turning ethical and transparent AI into a competitive advantage / Luciano Floridi; Making AI accountable: Creating openness and transparency in AI / Ryan Budish -- Views from a trade association: Unlocking the true potential of AI through its ethical implementation / Cecilia Bonefeld-Dahl -- Capgemini perspective: Why addressing ethical questions in AI will benefit organizations.</dc:description>
</rdf:Description>
</rdf:RDF>