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Shaping The Future Of Technology Governance: Artificial Intelligence And Machine Learning

We are at an unprecedented peak in the interest for Machine Learning (ML) and Artificial Intelligence (AI) technologies. The world is on the verge of transforming many industries with the help of AI, but how AI systems are developed needs to be better understood because of the significant implications that these technologies will have for society at large. As machine learning and artificial intelligence continues to evolve and acceptance grows, cooperation between organizations is necessary in order to optimize accountability, transparency, privacy, and fairness.    Show Source Texts

With the increasing challenges brought on by rapid developments in Artificial Intelligence (AI), several global initiatives for the regulation of AI have been developed in order to establish AI norms and standards. When it comes to AI governance, focus will move away from simply testing and towards applying AI as a legally binding requirement. The effect of artificial intelligence on corporate governance will be taken to new heights in the first field, Horizon 1), especially with the development of reinforcement and unsupervised learning, that extends AIs effect by providing the backing for augmented, amplified, and autonomous intelligence.    Show Source Texts

Accelerating societal benefits from AI and machine learning, whilst providing for fairness, privacy, transparency, accountability and societal impact. Ted Kwartler, Vice President, Trusted AI, at DataRobot, said, As the leader in artificial intelligence and machine learning, it is DataRobots responsibility to take an active role in making sure that AI is used to better the community. DataRobots Enterprise AI Platform delivers business value at scale by providing AI that continually tunes its performance over time. Fostering AI best practices will enhance Europes ability to compete globally.    Show Source Texts

AI has been the primary driving force behind emerging technologies such as big data, robotics, and IoT, and it will continue to serve as the technology innovator in the near future. AI requires data in order to validate and enhance its learning capabilities.50 Without both structured and unstructured datasets, AI would have almost no chance to reap all of its benefits. These tools, which enable computers to make predictions based on data and make automated decisions, are already a part of everyday life for billions.    Show Source Texts China supports strengthening dialogue on AI, and suggests holding a dedicated meeting at an appropriate time to advance implementation of G20 AI principles and to drive healthy global AI development.   

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