Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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Artificial Intelligence and its Potential for Supporting Clinical Observations of Child Behaviour
Manage episode 446185679 series 2086164
Contenu fourni par Audioboom, The Association for Child, and Adolescent Mental Health. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Audioboom, The Association for Child, and Adolescent Mental Health ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
https://acamhlearn.org/Learning/Artificial_Intelligence_and_its_Potential_for_Supporting_Clinical_Observations_of_Child_Behaviour/54bf300d-d331-4ebe-8a06-b130497db5f8
How can artificial intelligence be used to support clinical observation of child behaviour? Professor Helen Minnis and Professor Alessandro Vinciarelli discuss their recent CAMH paper on ‘The use and potential of artificial intelligence for supporting clinical observation of child behaviour’.
Learning Objectives
1. What is currently known about the use of social artificial intelligence (AI) within child and adolescent mental health services.
2. An overview of their recent CAMH paper (https://doi.org/10.1111/camh.12714), including insight into methodology and key findings.
3. Can social AI replicate the kind of implicit feel that clinicians have as a result of their training and experience?
4. The translation of AI into clinical practice.
5. Might policymakers push for the overuse of AI at the expense of clinicians?
6. How social AI might be further developed in the future to support child mental health
How can artificial intelligence be used to support clinical observation of child behaviour? Professor Helen Minnis and Professor Alessandro Vinciarelli discuss their recent CAMH paper on ‘The use and potential of artificial intelligence for supporting clinical observation of child behaviour’.
Learning Objectives
1. What is currently known about the use of social artificial intelligence (AI) within child and adolescent mental health services.
2. An overview of their recent CAMH paper (https://doi.org/10.1111/camh.12714), including insight into methodology and key findings.
3. Can social AI replicate the kind of implicit feel that clinicians have as a result of their training and experience?
4. The translation of AI into clinical practice.
5. Might policymakers push for the overuse of AI at the expense of clinicians?
6. How social AI might be further developed in the future to support child mental health
325 episodes
Manage episode 446185679 series 2086164
Contenu fourni par Audioboom, The Association for Child, and Adolescent Mental Health. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Audioboom, The Association for Child, and Adolescent Mental Health ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
https://acamhlearn.org/Learning/Artificial_Intelligence_and_its_Potential_for_Supporting_Clinical_Observations_of_Child_Behaviour/54bf300d-d331-4ebe-8a06-b130497db5f8
How can artificial intelligence be used to support clinical observation of child behaviour? Professor Helen Minnis and Professor Alessandro Vinciarelli discuss their recent CAMH paper on ‘The use and potential of artificial intelligence for supporting clinical observation of child behaviour’.
Learning Objectives
1. What is currently known about the use of social artificial intelligence (AI) within child and adolescent mental health services.
2. An overview of their recent CAMH paper (https://doi.org/10.1111/camh.12714), including insight into methodology and key findings.
3. Can social AI replicate the kind of implicit feel that clinicians have as a result of their training and experience?
4. The translation of AI into clinical practice.
5. Might policymakers push for the overuse of AI at the expense of clinicians?
6. How social AI might be further developed in the future to support child mental health
How can artificial intelligence be used to support clinical observation of child behaviour? Professor Helen Minnis and Professor Alessandro Vinciarelli discuss their recent CAMH paper on ‘The use and potential of artificial intelligence for supporting clinical observation of child behaviour’.
Learning Objectives
1. What is currently known about the use of social artificial intelligence (AI) within child and adolescent mental health services.
2. An overview of their recent CAMH paper (https://doi.org/10.1111/camh.12714), including insight into methodology and key findings.
3. Can social AI replicate the kind of implicit feel that clinicians have as a result of their training and experience?
4. The translation of AI into clinical practice.
5. Might policymakers push for the overuse of AI at the expense of clinicians?
6. How social AI might be further developed in the future to support child mental health
325 episodes
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