Not known Facts About ai workshops
Not known Facts About ai workshops
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AI may cause societal damage, encouraging radicalisation and marketing biased or skewed views. AI-created faux, but highly reasonable written content could reduce community belief in information and facts and govt bodies.
The generative AI landscape is quickly evolving and it can be difficult to know in which to get started on, which business troubles to tactic first, And exactly how to do that. Understanding how generative AI is often used is key to unlocking its transformational power across organisations.
The workshop is open up to all interested in article-singularity symbiosis-related subject areas, by having an envisioned attendance of nearly 50 people today.
This workshop aims to provide an extensive comprehension of AI governance rules, frameworks, and most effective practices to empower participants in navigating the moral, legal, and societal Proportions of AI.
The workshop will give attention to the appliance of artificial intelligence (AI) to issues in cyber security. When AI has shown tremendous promise in improving human decision-making in cyber security and even automating vital security functions, the security of these AI-enabled systems themselves remains a vulnerable frontier.
Attendees will get an comprehension of the moral concerns, information privateness challenges, and potential biases associated with the event and software of AI technologies.
Superintelligence guidance: Building useful methods to impact superintelligence in methods fascinating for humanity
The workshop will conclude by using a panel dialogue, bringing jointly scientists from academia and sector to more info determine long run Instructions and study gaps in doc comprehending.
We welcome submissions from scientists engaged on connected matters for example neural software synthesis, program induction, and principle Finding out.
The workshop will concentrate on the two the theoretical and useful problems relevant to the look of privateness-preserving AI units and algorithms and will have strong multidisciplinary components, like soliciting contributions about coverage, legal challenges, and societal impact of privacy in AI.
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By specializing in these key issues, we goal to mitigate the harm due to LLM-produced misinformation across various domains.
We invite papers that focus on many areas of mitigating misinformation produced by LLMs. Topics of desire include things like (but are certainly not limited to):