Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Threat Intelligence

10/10/2017
09:15 AM
Connect Directly
Twitter
LinkedIn
Google+
RSS
E-Mail
50%
50%

Artificial Intelligence: Experts Talk Ethical, Security Concerns

Global leaders weigh the benefits and dangers of a future in which AI plays a greater role in business and security strategy.

CYBERSEC EUROPEAN CYBERSECURITY FORUM - Kraków, Poland - The future of artificial intelligence was a hot topic at the third annual CYBERSEC Cybersecurity Forum, where security professionals representing Poland, the Netherlands, Germany, and the United Kingdom discussed the pitfalls and potential of AI, and its role in the enterprise.

Is it too soon to have this discussion? Absolutely not, said Axel Petri, SVP for group security governance at Deutsche Telekom AG. "Now is the time to ask the questions we'll have answers for in ten, twenty years," he added. Cybersecurity supported by AI and machine learning can leverage data to generate more insight and fight fraud.

"You are able to use the workforce you have in a smarter and better way by using AI," he said. "How nice would it be if we could have a junior SOC analyst act as well as the smartest guy in the SOC, of which you currently have very few?"

Andrzej Zybertowicz, research fellow at Nicolaus Copernicus University and social adviser to the President of Poland, explained that while locally used artificial intelligence can increase cybersecurity, the effects are "potentially disastrous" on a global scale. It's time to discuss the broad risks of AI and regulations to avoid them, he said, and others agreed.

"The problem is, there are so many risks," said Noel Sharkey, professor of artificial intelligence and robotics at the University of Sheffield, who believes there are both opportunities and threats in the field. "There's not just one thing."

Sharkey presented an example in the medical field, where AI could help doctors research diseases. This is a good thing, he said, but what happens when the machine is right long enough and the doctor stops questioning it? Should a doctor automatically agree with a machine? What are the implications if they do, and the machine someday gets it wrong?

"What's core is making sure there's clear accountability, and being concerned with the types of controls we seek in AI," Sharkey continued. There is a need for deep learning, and deep reinforcement learning, as we seek AI applications in child care, elder care, transport, and agriculture. "Future-proofing" AI should consider its implications for human rights.

"Artificial intelligence transforms everything around us; every industry, our health, our education," explained Aleksandra Przegalinska-Skierkowska, assistant professor at Kozminski University and research fellow for Collective Intelligence at MIT. "Especially if we want autonomous vehicles or virtual agents, we need a code of conduct for them."

We are at a point when people have begun to reflect on issues related to machine ethics and morality, she added. Building a structure for ethical AI systems should be a collaborative effort, especially as more businesses generate connected products.

"From the perspective of a company selling digital services, we should put one very important thing at the center of our attention -- this is a customer using the AI," said Petri. "What we need is the trust of users in every technical system. If we don't have they trust, we don't have users."

The discussion of regulatory measures soon turned to threat actors who will break them. Almost every technology is dual-usage and can be weaponized, Zybertowicz pointed out. "We are here talking about rules, but we are dealing with a group of bad actors who don't play by the rules," said Petri. "The bad guys are innovating faster than the good guys."

Related Content:

Join Dark Reading LIVE for two days of practical cyber defense discussions. Learn from the industry’s most knowledgeable IT security experts. Check out the INsecurity agenda here.

Kelly Sheridan is the Staff Editor at Dark Reading, where she focuses on cybersecurity news and analysis. She is a business technology journalist who previously reported for InformationWeek, where she covered Microsoft, and Insurance & Technology, where she covered financial ... View Full Bio

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
Data Privacy Protections for the Most Vulnerable -- Children
Dimitri Sirota, Founder & CEO of BigID,  10/17/2019
Sodinokibi Ransomware: Where Attackers' Money Goes
Kelly Sheridan, Staff Editor, Dark Reading,  10/15/2019
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
7 Threats & Disruptive Forces Changing the Face of Cybersecurity
This Dark Reading Tech Digest gives an in-depth look at the biggest emerging threats and disruptive forces that are changing the face of cybersecurity today.
Flash Poll
2019 Online Malware and Threats
2019 Online Malware and Threats
As cyberattacks become more frequent and more sophisticated, enterprise security teams are under unprecedented pressure to respond. Is your organization ready?
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2019-18214
PUBLISHED: 2019-10-19
The Video_Converter app 0.1.0 for Nextcloud allows denial of service (CPU and memory consumption) via multiple concurrent conversions because many FFmpeg processes may be running at once. (The workload is not queued for serial execution.)
CVE-2019-18202
PUBLISHED: 2019-10-19
Information Disclosure is possible on WAGO Series PFC100 and PFC200 devices before FW12 due to improper access control. A remote attacker can check for the existence of paths and file names via crafted HTTP requests.
CVE-2019-18209
PUBLISHED: 2019-10-19
templates/pad.html in Etherpad-Lite 1.7.5 has XSS when the browser does not encode the path of the URL, as demonstrated by Internet Explorer.
CVE-2019-18198
PUBLISHED: 2019-10-18
In the Linux kernel before 5.3.4, a reference count usage error in the fib6_rule_suppress() function in the fib6 suppression feature of net/ipv6/fib6_rules.c, when handling the FIB_LOOKUP_NOREF flag, can be exploited by a local attacker to corrupt memory, aka CID-ca7a03c41753.
CVE-2019-18197
PUBLISHED: 2019-10-18
In xsltCopyText in transform.c in libxslt 1.1.33, a pointer variable isn't reset under certain circumstances. If the relevant memory area happened to be freed and reused in a certain way, a bounds check could fail and memory outside a buffer could be written to, or uninitialized data could be disclo...