The impact of assigning gender to AI<\/h2>\n
Think about Alexa, Siri, and Cortana. What do they all have in common? They use female voices and are made to be obedient servants. Why is that? Is technology reinforcing stereotypes? Two panel discussions about gender and AI investigated. Digital assistants have female voices because, as various studies determined, people feel more comfortable with female voices as digital assistants. Is that also a reflection of society?<\/p>\n
So, what can be done to fight gender inequality in AI? Maybe use a gender-neutral voice, or perhaps create a gender for robots and AI. In addition to addressing this issue (and mentioned above), it\u2019s also important to have more diverse teams creating AI, reflecting the diversity of the users it serves.<\/p>\n
https:\/\/twitter.com\/kaspersky\/status\/1183739717965230087<\/p>\n
People trust robots more than they trust people<\/h2>\n
A social robot is an artificial intelligence system that interacts with humans and other robots \u2014 and that, unlike Siri or Cortana, has a physical presence. Tony Balpaeme, a professor of robotics at Ghent University, explained how issues surrounding robot and human interactions will rise as robots become more prevalent.<\/p>\n
Balpaeme described some of the scientific experiments he and his team have run. For example, they tested humans\u2019 versus robots\u2019 ability to extract sensitive information (date of birth, childhood street or town, favorite color, etc.) that could be used to reset passwords. The funny thing is that robots are trusted more than people are, so people are more likely to give them sensitive information.<\/p>\n
He also showed an experiment for physical intrusion. A group of people tasked with securing a building or area easily allow a cute robot into the area. There\u2019s no reason to assume the robot is safe, but humans assume it\u2019s harmless \u2014 a highly exploitable tendency. You can read more about social robotics and related experiments<\/a> on Securelist.<\/p>\n https:\/\/twitter.com\/kaspersky\/status\/1183683889514078209<\/p>\n David Jacoby, a Kaspersky GReAT member, talked about social engineering: chat bots, AI, and automated threats. With time, facial and voice recognition apps could be exploited through social engineering or other old-school methods.<\/p>\n Jacoby also went on to talk about deep fakes, which are becoming much more difficult to detect. How they may affect future elections and news broadcasts is a major concern.<\/p>\n The main concern, however, is trust.<\/em> Once the technology is perfected, who will you trust? The solution, he pointed out, is better awareness: education as well as new technology to help users detect fake videos.<\/p>\n Dmitry Galov, another Kaspersky GReAT member, talked about the ROS (Robot Operating System), a flexible framework for writing robot software. Like so many other systems, ROS was not created with security in mind, and naturally, it contains significant security issues. Before ROS-based products such as social robots and autonomous cars fly from university classrooms into consumers\u2019 arms, creators must address those issues. Indeed, a new version of ROS is under heavy development. You can read more in Galov\u2019s report<\/a>.<\/p>\n Marco Preuss and Dan Demeter, members of Kaspersky\u2019s GReAT, spoke about how people protect themselves from hacking while away on business trips. Have you considered that there could be hidden cameras, bugs, and two-way mirrors<\/a> in your hotel room?<\/p>\nAI will create very convincing deepfakes<\/h2>\n
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<\/a><\/p>\nThe state of security in robotics<\/h2>\n
Bonus tip: Use USB condoms<\/h2>\n
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