1. The Promise and Perils of Artificial Intelligence
Osmar Zaiane

2. AI is a diverse field but it is based on the assumption that human intelligence can be simulated by a machine.
The field is divided into several subfields, with different approaches, a wide range of tools and applications and strategic possibilities. Issues related to the ethics of creating entities is critical.

3. AI is foundational to Singularity, but there are a variety of attitudes among AI practitioners about Singularity
One aspect of AI relates to the cultural movement called H+ or transhumanism. Its focus is on human transformation by integrating machine capabilities.

4. Dr. Osmar Zaiane, in Computing Science focuses much of his work on Data Mining, AI and human-machine interface studies.
The diversity of AI is reflected in the fact that collaboration among interest-area researchers predominates, which gives the field flexibility. The drawback is that individual scholars can shift rapidily in their focus.

5. Medicine and Artificial Intelligence
'Medical artificial intelligence is primarily concerned with the construction of AI programs that perform diagnosis and make therapy recommendations. Unlike medical applications based on other programming methods, such as purely statistical and probabilistic methods, medical AI programs are based on symbolic models of disease entities and their relationship to patient factors and clinical manifestations. Clancey and Shortliffe, 1984

6. Changing Perceptions of Medicine and AI
Currently:
1. Less emphasis on diagnosis
2. AI has poor fit for the clinical situation
3. No ultimately useful measurements for intelligence (Alan Turing)
4. ‘Turing’ Test: Can you tell the difference?
5. Where can it be best utilized?

7. 100 Years after Turing’s Birth
Alan Turing’s contention now proven: UTexas game bot: AI 57%: Human 40%