Worth listening to Prof. Rohan Samarajiva break down the pros and the cons of drone use – and related sticky issues around big data, anonymization and machine learning this brings up.
This month, Sri Lanka’s army set up a drone regiment. Terms such as ‘organic aerial reconnaissance’ and disaster response are being used. But are we know with any technology, they come ‘locked’ with ethical and social dilemmas which go unnoticed.
This kind of deep discussion that professor Samarajiva brings, around whether citizens approve or recognize the privacy they forfeit for convenience, should be asked all the time. Otherwise, just as how the data mining companies are allowed to exploit us, a new technology could do the same until it’s way too late.
We love our machines – until we begin to see how they conspire against us.
Have you seen this concept video? Robots that perform farming. It’s disturbing to say the least, to think that the field of robotics is being applied to areas we never used to anticipate. No longer ‘programmed’ robots, these are machines that learn and apply what we now call machine learning, to the environment they are placed in. For instance could a robot learn about —and work in consort with — other devices on the so-called farm. (It’s actually a greenhouse.).
To put it in context, if robots could shuttle between products on a shelves in an Amazon warehouse, this is just an extension of that – an industrial application. We are at the starting blocks of the Fourth Industrial Revolution, so these upheavals – technological, economic, environmental, social etc— are just beginning to show up. I’ve been critical of the rush to apply AI into everything, holding out some optimism that these players and industries might still need some humans, while replacing others.
MIT has just announced it will add a new college, the Stephen A. Schwarzman College of Computing, dedicated to world-changing breakthroughs in AI, and their ethical application. The college will “reorient MIT” to add 50 new faculty positions, and give students in every discipline an opportunity to develop and apply AI and computing technologies.
The term ‘ethical’ keeps popping up these days in relation to Artificial Intelligence. MIT expands on this, saying it will “examine the anticipated outcomes of advances in AI and machine learning, and to shape policies around the ethics of AI.” As I have mentioned elsewhere, most experts (from Elon Musk, to Bill Gates to Berners-Lee aside) agree that we are just at the tadpole stage of the life-cycle of AI.
However, some, such as sci-fi writer, Isaac Asimov and even Stephen Hawking have had concerns. Hawking, for instance remarked that “we all have a role to play in ensuring that we and the next generation have the determination to engage with science … and create a better world for the whole human race.” MIT seems to be the first large institution to take up this mantle, and in the process, redefine and re-invent its role in education.
A few weeks back I featured an ominous exercise, conducted seven years ago by the Navy Research Lab.Today Artificial Intelligence is taking us into a new machine age, with devices, and not just robots, being able to grow ‘intelligent’ with data they glean from other machines we use.
Big players are developing capabilities in AI –from PwC and IBM, to Tesla and Alibaba!
It’s always good to keep an eye on what Chamath Palihapitiya is up to. He has been building a team of ex-Googlers, and is supposed to be after the next generation of computing. A $10 million startup, to be sure!
This could signal a lot of things, depending which pair of lenses you put on. It probably has a lot to do with AI – Artificial Intelligence. For instance he hired away eight of the ten people at Goggle working on a secret project involving a chip with AI. He has poked fun at Watson, the IBM cloud-based machine learning application.
Watson, as you might be aware turned tables on Jeopardyand Go (the 2,500-year-old game), but has machine learning entrenched in many sectors from genomics to industrial safety. Google’s machine learning project, known by its bland name, Tensor Processing Unit (TPU), is underway.
Pahlihapitiya talks of ‘probabilistic‘ software that is changing how we depend on devices – a great shift from ‘deterministic’ software based on “if-the” sequences. Watch how he explains how machine learning and II is transforming, and will up-end computing. I bet Watson took in every word of this.