NTENT Chief Technology Officer to Speak about Biases in Machine Learning at Global Forum on AI for Humanity
NTENT is proud to announce that CTO Dr. Ricardo Baeza-Yates will speak at the upcoming Global Forum on AI for Humanity (GFAIH) happening October 28–30 in Paris, France, under the high patronage of Emmanuel Macron, President of the French Republic. Joined by fellow speakers Francesco Bonchi (ISI Foundation), Kate Crawford (AI Now Institute & Microsoft), Laurence Devillers (Sorbonne University) and Eric Salobir (Office of Priests for ICT) in Session 5 of the event happening October 30 titled, AI & Human values: inequalities, biases, fairness, representation of minorities, gender balance, Dr. Baeza-Yates’ speech will address algorithmic biases in machine learning-based systems.
The GFAIH serves as the official springboard for the Global Partnership on AI (GPAI), an initiative introduced at the last G7 Summit by President Macron that encourages multi-national participation and cooperation with regards to developing artificial intelligence and maintaining ethical standards of practice in AI.
The GFAIH features experts from AI, social sciences, humanities, and engineering along with innovators, economic actors, policymakers and civil society representatives to better understand the common challenges of AI and the methods/tools used to overcome them. Participants will consider various projects, studies and social experiments designed to exchange ideas and influence R&D agendas.
If you are planning to attend the event or will be in the Paris, France area, connect with us to learn more about how NTENT uses AI and Machine Learning to help businesses achieve success.
About NTENT: NTENT provides Search and Conversational AI Platforms, empowering our partners to add search and conversational intelligence to anything. Maintain your data and direct relationships with your customers when you customize, localize and integrate our search, natural language understanding, and Q&A technologies directly into your lines of business. NTENT’s machine learning algorithmic approach comprehends massive amounts of information across the web. Through the company’s proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content, and ads, via conversational interfaces or text. NTENT’s natural language processing (NLP), clustering algorithms and spatial-temporal analysis, capture and apply behavioral search data insights that give businesses a competitive edge, allowing them to optimize time spent on research, development and delivering better customer experiences.
