An ethical approach to ML/AI secure solutions
The ethical development of AI components and systems is essential. Read how NXP, a Partner of the Charter of Trust, has built its comprehensive framework for AI ethics principles that are rooted in its corporate values, ethical guidelines, and a long tradition of building some of the world's most sophisticated secure devices.
Excerpt from NXP’s whitepaper “The Morals of Algorithms – A Contribution to the Ethics of AI Systems”
It’s hard to deny that artificial intelligence has come so far so fast. It’s working its way into our lives in ways that seem so natural that we find ourselves taking it for granted almost immediately. It’s helping us get around town, keeping us fit and always inventing new ways to help around the house. The ever-increasing availability of affordable sensors and computing elements will only accelerate this trend. Thinking of what’s next, which was once the domain of science fiction writers, is now our day-to-day reality.
AI applications will be designed for the greater good, but there will be outlying cases. The increase in autonomous applications that carry with them the potential to put humans in danger drives home the need for a universal code of conduct for AI development. A few years ago this would have sounded preposterous, but things are changing fast.
The industry, together with governments of several of the world’s leading nations, are already developing policies that would govern AI, even going so far as discussing a “code of conduct” for AI that focuses on safety and privacy. But how does one make AI ethical? First, you have to define what is ethical and the definition isn’t as cut and dry as we may hope. Without even considering the vast cultural and societal differences that could impact any such code, in practical terms, AI devices require complicated frameworks in order to carry out their decision-making processes.
The integrity of an AI system is just as important as the ethical programming because once a set of underlying principles is decided on, we need to be sure they’re not compromised. Machine learning can be utilized to monitor data streams to detect anomalies, but it can also be used by hackers to further enhance the effectiveness of their cyberattacks. AI systems also have to process input data without compromising privacy. Encrypting all communications will maintain confidentiality of data, and Edge AI systems are starting to use some of the most advanced cryptography techniques available.
Perhaps the biggest challenge is that the AI ecosystem is made up of contributions from various creators. Accountability and levels of trust between these contributors are not uniformly shared, and any breach could have far reaching implications if systematic vulnerabilities are exploited. Therefore, it’s the responsibility of the entire industry to work towards interoperable and assessable security.
Agreement on a universal code of ethics will be difficult and some basic provisions need to be resolved around safety and security. In the meantime, certification of silicon, connectivity and transactions should be a focus for stakeholders as we collaborate to build trustworthy AI systems of the future.
NXP, a partner in Charter of Trust, believes that upholding ethical AI principles, including non-maleficence, human autonomy, explicability, continued attention and vigilance, privacy and security by design is important. You can read NXP’s whitepaper “The Morals of Algorithms – A Contribution to the Ethics of AI Systems” here.