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AIML 2020 : The 3rd IEEE International Workshop on Advances in Artificial Intelligence & Machine Learning: Addressing Risks & Concerns
AIML 2020 : The 3rd IEEE International Workshop on Advances in Artificial Intelligence & Machine Learning: Addressing Risks & Concerns

AIML 2020 : The 3rd IEEE International Workshop on Advances in Artificial Intelligence & Machine Learning: Addressing Risks & Concerns

Madrid, Spain
Event Date: July 13, 2020 - July 17, 2020
Submission Deadline: April 09, 2020




About

Artificial intelligence (AI) is finally starting to deliver real-world benefits, and early adopters in businesses and industry in several sectors are embracing the promise of AI reaping significant benefits. On the downside, like any new technology, AI presents risks, raises concerns regarding its safety and societal impact, and poses development and implementation challenges. To reap fuller potential of AI, we must satisfactorily address these shortcomings.

This 3rd IEEE International Workshop on Advances in AI and Machine Learning (AIML) aims to examine risks and concerns of AI and machine learning (ML) and showcase scientific, technical and practical advances in addressing them.  The workshop will also highlight recent advances in AI and ML and their applications,cover AI strategy and policy, examine development and deployment challenges, and discuss concepts such as AI for good, Responsible AI, and Explainable AI. It is an interactive forum for AI researchers, practitioners and business executives for discussion on key issues and challengesand practices related to AI applications, and for sharing case studies and application experience.

Researchers and practitioners from all over the world, from academia, industry, and government are invited to present their work, perspectives, experiences and vision, and participate in the workshop.


Call for Papers

Topics of interest include, but are not limited to:

  • Advances in AI and machine learning, deep learning, cognitive computing, intelligent agents, chatbot
  • AI strategy for business and industry
  • AI applications in industry, business, healthcare, and education and training
  • AI in government and legal practice
  • Entertainment in the age of AI
  • AI for enhancing information security and privacy
  • Work in the age of AI
  • Trust, resilience, privacy and security issues in AI applications
  • Testing and validation of AI and ML applications
  • Risks, limitations, and challenges of AI and ML
  • Legal, regulatory, ethical aspects of AI (liability, etc.)
  • AI: promise vs practice
  • Societal implication of the rise of AI
  • Human-machine co-existence and collaboration
  • Intelligent, autonomous robots and cars
  • Industry 4.0
  • Smart society
  • AI and IoT
  • Case studies, experience reports, position papers and visionary perspectives
  • Overview of AI activities in a region/country
  • The Future of AI



Summary

AIML 2020 : The 3rd IEEE International Workshop on Advances in Artificial Intelligence & Machine Learning: Addressing Risks & Concerns will take place in Madrid, Spain. It’s a 5 days event starting on Jul 13, 2020 (Monday) and will be winded up on Jul 17, 2020 (Friday).

AIML 2020 falls under the following areas: ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, etc. Submissions for this Workshop can be made by Apr 09, 2020.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the AIML 2020

  • Short Name: AIML 2020
  • Full Name: The 3rd IEEE International Workshop on Advances in Artificial Intelligence & Machine Learning: Addressing Risks & Concerns
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of AIML 2020
  • Event Type: Workshop
  • Website Link: https://ieeecompsac.computer.org/2020/aiml/
  • Location/Address: Madrid, Spain


Credits and Sources

[1] AIML 2020 : The 3rd IEEE International Workshop on Advances in Artificial Intelligence & Machine Learning: Addressing Risks & Concerns


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