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But with all these exciting advancements come new questions about ethics and responsibility in the digital age. That's why Adobe is leading the conversation on responsible AI development and use. Join us and other industry leaders as we come together to build the guardrails that will guide the responsible use of this cutting-edge technology.
As AI technology continues to advance, so too must our responsibility to ensure that it is developed and used ethically. At the heart of this responsibility is the need for an AI ethics framework, which includes principles and review processes to ensure that generative AI and other AI technologies are aligned with company values and respect customers.
To create safe and inclusive generative AI models, it's essential to use diverse and curated datasets during the training process. But training alone is not enough. Rigorous and continuous testing is necessary to mitigate any harmful bias that may arise. At Adobe, we have an AI Ethics team that constantly tests our models for safety and bias, and we encourage two-way dialogue with the public to ensure that our generative AI technology is continuously improving.
Companies can also incorporate technical measures to enhance the ethics of their generative AI products, including block lists, deny lists, and NSFW classifiers. If necessary, adding human oversight can ensure that the output meets ethical expectations.
Companies must ensure that any AI technology sourced from outside vendors meets their ethical standards through a thorough vendor risk process. By prioritizing ethics and responsibility in the development and use of generative AI, we can create a better future for everyone.
To build trust in the content produced by generative AI models, transparency is crucial. With the increasing amount of AI-generated content, it's important to have a way to authenticate the authenticity of the content. At Adobe, they have implemented Content Credentials, which allow creators to attach information to a piece of content such as their names, dates, and the tools used to create it. This information travels with the content, so people can see exactly where the content came from and make informed decisions about whether to trust it. The Content Authenticity Initiative, founded by Adobe four years ago, is a collaborative effort with over 900 members from all areas of technology, media, and policy working together to bring this solution to the world. For generative AI, Adobe automatically attaches Content Credentials to indicate when something was created or modified with generative AI.
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