Ahead of World Summit AI (11th-12th October 2023, Taets Art & Event Park, Amsterdam), we asked Sako Arts, CTO And Co-founder, FruitPunch AI, his thoughts on the future of AI.

As an expert in the field, what critical challenges do you believe the AI community needs to address to ensure responsible & and ethical AI deployment?

Yes we need to focus on training the Engineers in such a way that they take partial responsibility. They need to know what impact their work can make and look for positions where this is done ethically, starving out those companies that don't due to a lack of engineers.

Ahead of World Summit AI (11th-12th October 2023, Taets Art & Event Park, Amsterdam), we asked Christian Martinez, Finance Analytics Manager at Kraft Heinz, his thoughts on the future of AI.

As an expert in the field, what critical challenges do you believe the AI community needs to address to ensure responsible & and ethical AI deployment?

Explicability and Explainability.

Ahead of World Summit AI (11th-12th October 2023, Taets Art & Event Park, Amsterdam), we asked Maciej Mazur, Principal ML Engineer at Canonical, his thoughts on the future of AI.

As an expert in the field, what critical challenges do you believe the AI community needs to address to ensure responsible & and ethical AI deployment?

I think the main challenge would be explainability. But not only on a traditional level, when we do it for legal reasons, but also ie. an LLM backed voice assistant explaining the user how it came to a certain conclusion.

Ahead of World Summit AI (11th-12th October 2023, Taets Art & Event Park, Amsterdam), we asked Khagesh Batra, Head of Data Science, The Adecco Group, his thoughts on the future of AI.

As an expert in the field, what critical challenges do you believe the AI community needs to address to ensure responsible & and ethical AI deployment?

- Data Bias: AI systems can inherit the biases present in their training data. This is problematic when these systems are used for decision-making in critical areas like criminal justice, healthcare, and employment.

- Algorithmic Fairness: Even if training data is balanced and unbiased, the algorithms themselves can introduce bias. Methods for auditing and mitigating algorithmic biases are crucial.

- Explainability: Many advanced AI models, including deep neural networks, are often considered "black boxes" because their operations are not easily interpretable by humans. A lack of explainability can be a serious issue when deploying AI in sensitive areas.

- Audit Trails: There needs to be a reliable way to audit decisions made by AI systems. This is particularly important for systems that might be involved in legal , finance and medical decisions.

Ahead of World Summit AI (11th-12th October 2023, Taets Art & Event Park, Amsterdam), we asked Héctor López Romero, Bigdata & AI Senior Product Manager at Open Telekom Cloud, his thoughts on the future of AI.

As an expert in the field, what critical challenges do you believe the AI community needs to address to ensure responsible & ethical AI deployment?

The big challenge is to include all stakeholders to the same ethical level that everyone knows and follows ethics at any level of implementation.

Ahead of World Summit AI (11th-12th October 2023, Taets Art & Event Park, Amsterdam), we asked Ferenc Kukucska, Bigdata & AI Architect, Open Telekom Cloud, his thoughts on the future of AI.

As an expert in the field, what critical challenges do you believe the AI community needs to address to ensure responsible & ethical AI deployment?

We need to explain to the users of the AI what exactly they are using, what data we used for training so 100% transparency and informing the end user are the most important things to do in my opinion

Ahead of World Summit AI (11th-12th October 2023, Taets Art & Event Park, Amsterdam), we asked Jonathan Salem Baskin, Ethics Evangelist at Spiritual Telegraph, his thoughts on the future of AI.

As an expert in the field, what critical challenges do you believe the AI community needs to address to ensure responsible & ethical AI deployment?

I think the biggest challenge is that we need to look beyond corporate oversight and regulation and consider the moral behaviors of engineers themselves and, therefrom, how they construct AI models that have ethics literally "built into" how they function.

Ahead of World Summit AI (11th-12th October 2023, Taets Art & Event Park, Amsterdam), we had the opportunity to sit down with Parag Parekh, Chief Digital Officer, and Ulrika Biesèrt, Chief Human Resources Officer at IKEA, to gain valuable insights into their perspectives on the future of AI.

Parag, you’re presenting at World Summit AI this year - can you provide a little insight into what you’ll be presenting on?

Ahead of World Summit AI (11th-12th October 2023, Taets Art & Event Park, Amsterdam), we asked Dr. Martin Schaffer, Global Head of Emerging Technologies at SGS, his thoughts on the future of AI.

If you could solve any global problem in the world with AI, what would it be and why?

Key obvious issues to focus on are the root causes of climate change, along with poverty, hunger, healthcare, and energy challenges. One key element there is to democratize education, ensuring better tailored education across the world’s population.

Ahead of World Summit AI (11th-12th October 2023, Taets Art & Event Park, Amsterdam), we asked Choy Yong Cong, VP and Head of Europe Singapore Economic Development Board, his thoughts on the future of AI.

As an expert in the field, what critical challenges do you believe the AI community needs to address to ensure responsible & ethical AI deployment?

There is a need for a practical and informed approach to AI governance. Singapore believes in taking such an approach, and partnering with leading industry players such as Microsoft, Google and Adobe to use AI in a trustworthy manner. For example, Singapore’s AI Verify is a tool launched in partnership with the industry, that helps developers check that their algorithms and datasets for training AI are in line with 11 internationally recognised principles. The AI Verify Foundation has also been launched to foster an open-source community to contribute to AI testing frameworks, code base, standards and best practices and create a neutral, international platform for open collaboration and idea-sharing on testing and governing AI. These initiatives help to ensure an effective approach to more responsible and ethical AI deployment, that safeguards users and protects societal interests.