The first paper picks out e.g. arousal/wakefulness, phenomenal quality / qualia, unity (how we feel sensory inputs and qualia as a unified scene), access consciousness (instrumental self-observation and modification broadly), meta-cognition and self-modeling, emotional valence (e.g. pain/pleasure).
One might also include intelligence (abstract reasoning / argument, information integration and abstraction, attention) broadly, and also agency / desires / drives / will. Insofar as these are aspects of consciousness, yes, AI (and simpler algorithms and mechanistic structures) demonstrate aspects of consciousness. But insofar as embodiment, self-reflexivity and qualia (phenomenal consciousness) are the more mysterious and more obviously unique aspects of consciousness, current LLMs very clearly are lacking these things in most ways (whereas animals are much less clearly lacking, especially when you get to mammals and primates).
Seriously, just ask an AI this stuff, you'll get very detailed responses, nothing I am saying here is new or obscure.