En un mundo de deepfakes, debemos defender los contenidos sintéticos de IA honestos
El auge de la inteligencia artificial ha impulsado el uso de deepfakes en vídeo, audio e imágenes. Pero los contenidos generados por IA también aportan beneficios.
Beena Ammanath is an award- winning senior technology executive with extensive experience in AI and digital transformation. Her career has spanned leadership roles in e- commerce, finance, marketing, telecom, retail, software products, service, and industrial domains. She is also the author of the ground breaking book, Trustworthy AI.
El auge de la inteligencia artificial ha impulsado el uso de deepfakes en vídeo, audio e imágenes. Pero los contenidos generados por IA también aportan beneficios.
The rise of AI has fuelled the use of deepfake content, including artificial video, audio and images. But such synthetic content can bring benefits.
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Machine learning can transform a company, but it can lead to unnecessary costs, damage and decision-making errors without enterprise-wide participation.
Computer vision has a range of positive applications, including identifying diseases, improving customer service, and moderating social media content.
Deep learning can improve productivity, increase retention and boost business, but good governance is needed to address bias and ensure positive results.
今の時代、私たちは呼びかけやテキストの入力により、バーチャルアシスタントと対話することが少なくありません。Amazonのアレクサ(Alexa)対応機器を自宅に置き、音楽の再生やジョークを言わせている人々を想像してみてください。Amazonは2018年だけで1億台以上のアレクサ対応機器を販売し、その年、アレクサは1億回以上のジョークを言ったことになります。
Chatbots and virtual assistants that use AI have become omnipresent. Frameworks on how to regulate them need to be created. Here's what the future of chatbots might look like.
One of the more effective ways to address bias in AI and build better products is to engage diverse teams throughout the process - that means more women.
New report highlights five shared principles that responsible organisations are embedding into their use of technology to combat mistrust and build industry consensus.