public:t_720_atai:atai-18:lecture_notes_autonomous-x
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T-720-ATAI-2018 Main
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T-720-ATAI-2018
Lecture Notes, W9: Autonomous-X: Predictability, Reliability, Explainability
Autonomous-X
| Autonomy | Implies that the machine “does it alone”. |
| Predictability | Predictability is a desired feature of any useful AI. An autonomous machine that is not predictable has severely limited utility. |
| Reliability | Reliability is another desired feature of any useful AI. An autonomous machine with low reliability has severely compromised utility. |
| Explainability | Explainability is a third desired feature of any useful AI. An autonomous machine whose actions cannot be explained also cannot be predicted. |
Autonomous-X
| Why This Is Important | Autonomy is a key feature of intelligence - the ability of a system to “act on its own”. This table exists to highlight some really key features of autonomy that any human-level intelligence probably must have. We say “probably” because, since we don't have any yet, and because there is no proper theory of intelligence, we cannot be sure. |
| Learning | We already have machines that learn autonomously, although most of the available methods are limited in that they (a) rely heavily on quality selection of learning material/environments, (b) require careful setup of training, and (c ) careful and detailed specifications of how progress is evaluated. |
| Selection of Variables | Very few if any existing learning methods can decide for themselves whether, from a set of variables with potential relevance for its learning, any one of them (a) is relevant, (b) and if so how much and (c ) in what way it is relevant. |
| Goal-Generation | Very few if any existing learning methods can generate their own (sub-) goals. Of those that might be said to be able to, none can do so freely for any topic or domain. |
| Control of Resources | By “resources” we mean computing power (think time), time, and energy, at the very least. Few if any existing learning methods are any good at (a) controlling their resource use, (b) planning for it, (c ) assessing it, or (d) explaining it. |
| Self-Inspection | Virtually no systems exist as of yet that has been demonstrated to be able to inspect (measure, quantify, compare, track, make use of) their own development for use in its continued growth - whether learning, goal-generation, selection of variables, resource usage, or other self-X. |
| Self-Growth | No System as of yet has been demonstrated to be able to autonomously manage its own self-growth. |
Predictability
| What it Is | |
| Why it is Important |
Reliability
Explainability
2018©K. R. Thórisson
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