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Artificial Intelligence
Thought Leaders in Artificial Intelligence: Blackbird.ai CEO Wasim Khaled (Part 5)
Wasim Khaled: If you look back to the era of the Soviet Union, they weaponized propaganda and disinformation. They recently wielded it using these new tools. Again, it’s self-subscribing to propaganda. It’s the perfect system when you have polarized groups to drill in on that.
I want to think about this and consider where that might be going. Today, it’s pretty bad. We can see this week, in particular, how many opposing narratives are coming out on the same topic.
>>>Thought Leaders in Artificial Intelligence: Blackbird.ai CEO Wasim Khaled (Part 4)
Sramana Mitra: I think the parallel is that cigarette smoking is injurious to health. The whole tobacco industry has agreed to it and gradually society has come to understand that. There were fewer and fewer public places that you can smoke and so on and so forth.
An equivalent understanding and rejection of this kind of addiction needs to happen, but I guess it’s too young of an industry. The smartphone came out in 2007. Facebook came in 2004. It hasn’t been long. It’s only been a decade worth of real addiction that we have seen.
>>>Thought Leaders in Artificial Intelligence: Blackbird.ai CEO Wasim Khaled (Part 3)
Sramana Mitra: If you were to recommend how these large social media platforms should be regulated, what would you suggest?
Wasim Khaled: One of the most important things is that you don’t use a sledgehammer on the entire tech industry, especially with smaller up-and-coming companies that would get squashed if you applied the same broad stroke to the entire sector. That would be bad.
>>>Thought Leaders in Artificial Intelligence: Blackbird.ai CEO Wasim Khaled (Part 2)
Sramana Mitra: Speaking about disinformation and harmful-to-society information, the COVID misinformation is also equally dangerous.
Wasim Khaled: There’re a lot of complexities that go into the decision-making process in social media platforms where the line between freedom of speech and censorship lies. That’s going to be a contentious topic that pushes into regulation on the social platform as we go forward in the next six months to a year.
>>>Thought Leaders in Artificial Intelligence: Blackbird.ai CEO Wasim Khaled (Part 1)
Fake news and misinformation is playing havoc with modern society. This conversation delves into the depths of the issues.
Sramana Mitra: Let’s have you introduce yourself as well as Blackbird.ai.
>>>Thought Leaders in Artificial Intelligence: Peter Brodsky, CEO of Hyperscience (Part 4)
Peter Brodsky: I think there’s also the empirical fact that up until the pandemic in the US, we had the highest level of automation ever and the lowest level of unemployment. In the history of technology, one in which automation can switch jobs, far fewer of us are farmers compared to before, but it hasn’t destroyed jobs. It’s not surprising.
Sramana Mitra: I also think that there is a time lag in process automation. What will happen in the post-COVID world remains to be seen because there has been an acceleration of trends.
>>>Thought Leaders in Artificial Intelligence: Peter Brodsky, CEO of Hyperscience (Part 3)
Sramana Mitra: Let’s double-click down one level and take one more example. When, automatically, your technology is able to verify a person’s income, how is it able to do that? What data source is it going after to be able to do that?
Peter Brodsky: We are probably getting too deep into customer specific details and the answer to that question really varies. We offer what is meant to be a generic platform. There is a reason why the company is horizontal.
>>>Thought Leaders in Artificial Intelligence: Peter Brodsky, CEO of Hyperscience (Part 2)
Sramana Mitra: In the context of what we are discussing, what is an example of something that is not doable without human intervention?
Peter Brodsky: Most things. Even if you take something as simple as looking at a form that has been filled out by hand. There is no clear way of knowing what it actually says. Handwriting recognition has the same challenges as speech recognition. Although you can get very good at it, you are going to make a number of mistakes.
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