New version: ExplainableAI v0.9.0

[JuliaRegistrator]

• Registering package: ExplainableAI
• Repository: https://github.com/Julia-XAI/ExplainableAI.jl
• Created by: @adrhill
• Version: v0.9.0
• Commit: 351042de062096be72f1f9b4bb2913da6162ab13
• Reviewed by: @adrhill
• Reference: Julia-XAI/ExplainableAI.jl@351042d#commitcomment-147852101
• Description: Explainable AI in Julia.
• Release notes:

- ![Feature][badge-feature] Support selection of AD backends via DifferentiationInterface.jl. ([#167])
- ![BREAKING][badge-breaking] For gradient-based XAI methods, an AD backend must now be manually loaded. To keep using the default Zygote backend, this simply requires adding `using Zygote` to your code. ([#177]) 
- ![BREAKING][badge-breaking] `Gradient`, `InputTimesGradient` and `GradCAM` analyzers now have an additional `backend` field and type parameter. ([#167])
- ![BREAKING][badge-breaking] Update XAIBase interface to `v4`. This adds a field to the `Explanation` return type and removes the `add_batch_dim` keyword argument. Refer to the [XAIBase.jl changelog](https://github.com/Julia-XAI/XAIBase.jl/blob/main/CHANGELOG.md#version-v400) for more information. ([#174])

[#177]: https://github.com/Julia-XAI/ExplainableAI.jl/pull/177
[#174]: https://github.com/Julia-XAI/ExplainableAI.jl/pull/174
[#167]: https://github.com/Julia-XAI/ExplainableAI.jl/pull/167
[badge-breaking]: https://img.shields.io/badge/BREAKING-red.svg
[badge-deprecation]: https://img.shields.io/badge/deprecation-orange.svg
[badge-feature]: https://img.shields.io/badge/feature-green.svg

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